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Semantic Scholar33rd AAAI 2019: Honolulu, Hawaii, USA
The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019. AAAI Press 2019, ISBN 978-1-57735-809-1
AAAI Technical Track: AI and the Web
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. 3-11Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty:
Outlier Aware Network Embedding for Attributed Networks. 12-19Umanga Bista, Alexander Patrick Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie:
Comparative Document Summarisation via Classification. 20-28Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton:
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction. 29-36Jin Chen, Defu Lian, Kai Zheng:
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer. 37-44Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun:
Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks. 45-52Xu Chen, Yongfeng Zhang, Zheng Qin:
Dynamic Explainable Recommendation Based on Neural Attentive Models. 53-60Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. 61-68Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang:
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. 69-76Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers:
Triple Classification Using Regions and Fine-Grained Entity Typing. 77-85Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. 86-93Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li:
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems. 94-101Xiaolong Gong, Linpeng Huang, Fuwei Wang:
Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content. 102-109Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen:
Cooperative Multimodal Approach to Depression Detection in Twitter. 110-117Jun Guo, Jiahui Ye:
Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering. 118-125Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. 126-133Shizhu He, Kang Liu, Weiting An:
Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks. 134-141Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer:
Exploiting Background Knowledge in Compact Answer Generation for Why-Questions. 142-151Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang:
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks. 152-159Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty:
Incorporating Network Embedding into Markov Random Field for Better Community Detection. 160-167Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan:
Crawling the Community Structure of Multiplex Networks. 168-175Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. 176-183Xiaoming Li, Hui Fang, Jie Zhang:
Supervised User Ranking in Signed Social Networks. 184-191Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang:
Personalized Question Routing via Heterogeneous Network Embedding. 192-199Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li:
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features. 200-207Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi:
Discrete Social Recommendation. 208-215Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi:
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. 216-223Fandong Meng, Jinchao Zhang:
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. 224-231Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin:
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. 232-240Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma:
Unsupervised Neural Machine Translation with SMT as Posterior Regularization. 241-248Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. 249-256Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan:
Surveys without Questions: A Reinforcement Learning Approach. 257-264Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy:
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. 265-272Xiaoxiao Sun, Liyi Chen, Jufeng Yang:
Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification. 273-280Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome:
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. 281-288Zhiwen Tang, Grace Hui Yang:
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval. 289-296Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang:
Entity Alignment between Knowledge Graphs Using Attribute Embeddings. 297-304Quoc-Tuan Truong, Hady W. Lauw:
VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis. 305-312Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai:
UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews. 313-320Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang:
Community Detection in Social Networks Considering Topic Correlations. 321-328Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng:
Community Focusing: Yet Another Query-Dependent Community Detection. 329-337Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. 338-345Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan:
Session-Based Recommendation with Graph Neural Networks. 346-353Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu:
CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting. 354-362Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu:
Structured and Sparse Annotations for Image Emotion Distribution Learning. 363-370Nan Xu, Wenji Mao, Guandan Chen:
Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis. 371-378Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang:
Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data. 379-386Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. 387-394Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles:
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching. 395-402Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua:
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. 403-410Qian Yu, Wai Lam:
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank. 411-418Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. 419-426Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang:
Text Assisted Insight Ranking Using Context-Aware Memory Network. 427-434Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun:
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. 435-442Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu:
Regularizing Neural Machine Translation by Target-Bidirectional Agreement. 443-450Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, Hua Wu:
Addressing the Under-Translation Problem from the Entropy Perspective. 451-458Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Robust Online Matching with User Arrival Distribution Drift. 459-466
AAAI Technical Track: AI for Social Impact
Sheila Alemany, Jonathan Beltran, Adrián Pérez, Sam Ganzfried:
Predicting Hurricane Trajectories Using a Recurrent Neural Network. 468-475Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes:
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. 476-484Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng:
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. 485-492Di Chen, Carla P. Gomes:
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. 493-500Gianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini:
Coverage Centrality Maximization in Undirected Networks. 501-508Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic:
Bayesian Fairness. 509-516Wenzheng Feng, Jie Tang, Tracy Xiao Liu:
Understanding Dropouts in MOOCs. 517-524Meir Friedenberg, Joseph Y. Halpern:
Blameworthiness in Multi-Agent Settings. 525-532Serge Gaspers, Kamran Najeebullah:
Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length. 533-540Partha Ghosh, Arpan Losalka, Michael J. Black:
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders. 541-548Paul Gölz, Ariel D. Procaccia:
Migration as Submodular Optimization. 549-556Tomer Golany, Kira Radinsky:
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. 557-564Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone:
Selecting Compliant Agents for Opt-in Micro-Tolling. 565-572Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel:
HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews. 573-581Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao:
Learning Diffusions without Timestamps. 582-589Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. 590-597Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao:
Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. 598-605Muhammad Raza Khan, Joshua E. Blumenstock:
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty. 606-613Arash Khodadadi, Daniel J. McDonald:
Algorithms for Estimating Trends in Global Temperature Volatility. 614-621Amanda Kube, Sanmay Das, Patrick J. Fowler:
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. 622-629Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan:
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs. 630-638Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
Latent Dirichlet Allocation for Internet Price War. 639-646Mike Li, Elija Perrier, Chang Xu:
Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. 647-654Shuailong Liang, Olivia Nicol, Yue Zhang:
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. 655-662Matt Olfat, Anil Aswani:
Convex Formulations for Fair Principal Component Analysis. 663-670Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan:
Violence Rating Prediction from Movie Scripts. 671-678Bowen Pan, Shangfei Wang, Qisheng Jiang:
Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning. 679-686Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Breazeal:
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education. 687-694Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus:
Emergency Department Online Patient-Caregiver Scheduling. 695-701Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski:
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. 702-709Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh:
Learning to Address Health Inequality in the United States with a Bayesian Decision Network. 710-717Jakub Sliwinski, Martin Strobel, Yair Zick:
Axiomatic Characterization of Data-Driven Influence Measures for Classification. 718-725Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless:
Hotels-50K: A Global Hotel Recognition Dataset. 726-733Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee:
A Study of Educational Data Mining: Evidence from a Thai University. 734-741Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. 742-749Jill-Jênn Vie, Hisashi Kashima:
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. 750-757Chaokun Wang, Junchao Zhu:
Forbidden Nodes Aware Community Search. 758-765Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi:
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. 766-773Fan Wu, Lixia Wu:
DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System. 774-781Mike Wu, Milan Mosse, Noah Goodman, Chris Piech:
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference. 782-790Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung:
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder. 791-800Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai:
EnsNet: Ensconce Text in the Wild. 801-808Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li:
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. 809-816Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. 817-824Ruobing Zheng, Ze Luo, Baoping Yan:
Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis. 825-832
AAAI Technical Track: Applications
Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Adversarial Unsupervised Representation Learning for Activity Time-Series. 834-841Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright:
Beyond Speech: Generalizing D-Vectors for Biometric Verification. 842-849Gissella Bejarano, David DeFazio, Arti Ramesh:
Deep Latent Generative Models for Energy Disaggregation. 850-857Fiammetta Caccavale, Anders Søgaard:
Predicting Concrete and Abstract Entities in Modern Poetry. 858-864Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. 865-872Lisi Chen, Shuo Shang:
Region-Based Message Exploration over Spatio-Temporal Data Streams. 873-880Michael Dann, Fabio Zambetta, John Thangarajah:
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains. 881-889Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He:
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting. 890-897Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu:
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation. 898-905Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li:
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. 906-913Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri:
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition. 914-921Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan:
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. 922-929Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. 930-937Yu Hao, Xien Liu, Ji Wu, Ping Lv:
Exploiting Sentence Embedding for Medical Question Answering. 938-945Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi:
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. 946-953Shiyu Huang, Hang Su, Jun Zhu, Ting Chen:
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks. 954-961Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang:
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks. 962-969Jan Karwowski, Jacek Mandziuk, Adam Zychowski, Filip Grajek, Bo An:
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets. 970-977Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh:
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator. 978-985John Krumm, Eric Horvitz:
Traffic Updates: Saying a Lot While Revealing a Little. 986-995Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li:
Adversarial Learning for Weakly-Supervised Social Network Alignment. 996-1003Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao:
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction. 1004-1011Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang:
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. 1012-1019Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin:
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. 1020-1027Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao:
Perceptual-Sensitive GAN for Generating Adversarial Patches. 1028-1035Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong:
Joint Representation Learning for Multi-Modal Transportation Recommendation. 1036-1043Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu:
DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing. 1044-1051Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. 1052-1060Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su:
Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer. 1061-1068Tianle Ma, Aidong Zhang:
AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction. 1069-1076Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson:
Scalable Robust Kidney Exchange. 1077-1084Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen:
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. 1085-1092Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng:
Pathological Evidence Exploration in Deep Retinal Image Diagnosis. 1093-1101Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky:
Building Causal Graphs from Medical Literature and Electronic Medical Records. 1102-1109Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez:
NeVAE: A Deep Generative Model for Molecular Graphs. 1110-1117Patrick Schwab, Walter Karlen:
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. 1118-1125Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. 1126-1133Weiwei Shen, Bin Wang, Jian Pu, Jun Wang:
The Kelly Growth Optimal Portfolio with Ensemble Learning. 1134-1141Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi:
Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis. 1142-1149Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee:
Subtask Gated Networks for Non-Intrusive Load Monitoring. 1150-1157Christopher Solinas, Douglas Rebstock, Michael Buro:
Improving Search with Supervised Learning in Trick-Based Card Games. 1158-1165Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong:
Exploiting the Contagious Effect for Employee Turnover Prediction. 1166-1173Bryan Wang, Yi-Hsuan Yang:
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network. 1174-1181Di Wang, Jinhui Xu:
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View. 1182-1189Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Private Model Compression via Knowledge Distillation. 1190-1197Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang:
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. 1198-1205Bin Wu:
Hierarchical Macro Strategy Model for MOBA Game AI. 1206-1213Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun:
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. 1214-1221I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei:
On Strength Adjustment for MCTS-Based Programs. 1222-1229Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang:
A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes. 1230-1237Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo:
TET-GAN: Text Effects Transfer via Stylization and Destylization. 1238-1245Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. 1246-1253Chi Zhang, Yixin Zhu, Song-Chun Zhu:
MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer. 1254-1261Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings:
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. 1262-1269Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie:
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. 1270-1277Panpan Zheng, Shuhan Yuan, Xintao Wu:
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. 1278-1285Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
One-Class Adversarial Nets for Fraud Detection. 1286-1293Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li:
DeepDPM: Dynamic Population Mapping via Deep Neural Network. 1294-1301
AAAI Technical Track: Cognitive Modeling
Xiaolin Wu, Xi Zhang, Xiao Shu:
Cognitive Deficit of Deep Learning in Numerosity. 1303-1310Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. 1311-1318Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen:
TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. 1319-1326Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li:
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. 1327-1334
AAAI Technical Track: Cognitive Systems
Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus:
Human-Like Sketch Object Recognition via Analogical Learning. 1336-1343Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He:
Attentive Tensor Product Learning. 1344-1351Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini:
Scalable Recollections for Continual Lifelong Learning. 1352-1359Abhishek Sharma, Keith M. Goolsbey:
Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases. 1360-1367Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa:
Modelling Autobiographical Memory Loss across Life Span. 1368-1375
AAAI Technical Track: Computational Sustainability
Jiaxu Cui, Bo Yang, Xia Hu:
Deep Bayesian Optimization on Attributed Graphs. 1377-1384Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee:
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso. 1385-1392Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. 1393-1400Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Games with Real-Time Information. 1401-1408Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla:
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. 1409-1416
AAAI Technical Track: Constraint Satisfaction and Optimization
Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos:
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. 1418-1426Daniel Anderson, Gregor Hendel, Pierre Le Bodic, Merlin Viernickel:
Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation. 1427-1434Curtis Bright, Dragomir Z. Ðokovic, Ilias Kotsireas, Vijay Ganesh:
A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples. 1435-1442Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau:
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning. 1443-1451Alexander Diedrich, Alexander Maier, Oliver Niggemann:
Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory. 1452-1459Hu Ding, Mingquan Ye:
On Geometric Alignment in Low Doubling Dimension. 1460-1467Aritra Dutta, Filip Hanzely, Peter Richtárik:
A Nonconvex Projection Method for Robust PCA. 1468-1476Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak:
Solving Integer Quadratic Programming via Explicit and Structural Restrictions. 1477-1484Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi:
Stochastic Submodular Maximization with Performance-Dependent Item Costs. 1485-1494Amin Hosseininasab, Willem-Jan van Hoeve, André A. Ciré:
Constraint-Based Sequential Pattern Mining with Decision Diagrams. 1495-1502Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. 1503-1510Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva:
Abduction-Based Explanations for Machine Learning Models. 1511-1519Yoichi Iwata, Takuto Shigemura:
Separator-Based Pruned Dynamic Programming for Steiner Tree. 1520-1527Ehsan Kazemi, Liqiang Wang:
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. 1528-1535Jean-Marie Lagniez, Pierre Marquis:
A Recursive Algorithm for Projected Model Counting. 1536-1543Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling:
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. 1544-1551Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng:
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. 1552-1559Shengcai Liu, Ke Tang, Xin Yao:
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. 1560-1567Igor Molybog, Javad Lavaei:
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem. 1568-1575Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari:
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets. 1576-1583Christoph Scholl, Jie-Hong Roland Jiang, Ralf Wimmer, Aile Ge-Ernst:
A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving. 1584-1591Mate Soos, Kuldeep S. Meel:
BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model Counting. 1592-1599Sabine Storandt, Stefan Funke:
Algorithms for Average Regret Minimization. 1600-1607Miguel Terra-Neves, Nuno Machado, Inês Lynce, Vasco M. Manquinho:
Concurrency Debugging with MaxSMT. 1608-1616Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh:
Bayesian Functional Optimisation with Shape Prior. 1617-1624Sicco Verwer, Yingqian Zhang:
Learning Optimal Classification Trees Using a Binary Linear Program Formulation. 1625-1632Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong:
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems. 1633-1640Po-Wei Wang, J. Zico Kolter:
Low-Rank Semidefinite Programming for the MAX2SAT Problem. 1641-1649Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song:
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization. 1650-1657Bryan Wilder, Bistra Dilkina, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. 1658-1665Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden:
Adding Constraints to Bayesian Inverse Problems. 1666-1673Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong, Yang Richard Yang:
Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface. 1674-1681Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li:
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. 1682-1689
AAAI Technical Track: Game Playing and Interactive Entertainment
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana:
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods. 1691-1698Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykula:
Regular Boardgames. 1699-1706Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu:
3D Face Synthesis Driven by Personality Impression. 1707-1714Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan:
Learning to Write Stories with Thematic Consistency and Wording Novelty. 1715-1722
AAAI Technical Track: Game Theory and Economic Paradigms
Colleen Alkalay-Houlihan, Nisarg Shah:
The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining. 1724-1731Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi:
Fair Division with a Secretive Agent. 1732-1739Haris Aziz, Péter Biró, Ronald de Haan, Baharak Rastegari:
Pareto Optimal Allocation under Compact Uncertain Preferences. 1740-1747Siddharth Barman, Sanath Kumar Krishnamurthy:
On the Proximity of Markets with Integral Equilibria. 1748-1755Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo:
Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity. 1756-1763Dorothea Baumeister, Tobias Hogrebe, Lisa Rey:
Generalized Distance Bribery. 1764-1771Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz:
From Recommendation Systems to Facility Location Games. 1772-1779Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz:
Convergence of Learning Dynamics in Information Retrieval Games. 1780-1787Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao:
Low-Distortion Social Welfare Functions. 1788-1795Daan Bloembergen, Davide Grossi, Martin Lackner:
On Rational Delegations in Liquid Democracy. 1796-1803Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway:
Primarily about Primaries. 1804-1811Simina Brânzei, Aris Filos-Ratsikas:
Walrasian Dynamics in Multi-Unit Markets. 1812-1819Gianluca Brero, Sébastien Lahaie, Sven Seuken:
Fast Iterative Combinatorial Auctions via Bayesian Learning. 1820-1828Noam Brown, Tuomas Sandholm:
Solving Imperfect-Information Games via Discounted Regret Minimization. 1829-1836Sofia Ceppi, Ian A. Kash, Rafael M. Frongillo:
Partial Verification as a Substitute for Money. 1837-1844Yiling Chen, Yang Liu, Juntao Wang:
Randomized Wagering Mechanisms. 1845-1852Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan:
Group Fairness for the Allocation of Indivisible Goods. 1853-1860Trevor Davis, Kevin Waugh, Michael Bowling:
Solving Large Extensive-Form Games with Strategy Constraints. 1861-1868Ilias Diakonikolas, Chrystalla Pavlou:
On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games. 1869-1876John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu:
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity. 1877-1884Hossein Esfandiari, Mohammad Taghi Hajiaghayi, Brendan Lucier, Michael Mitzenmacher:
Online Pandora's Boxes and Bandits. 1885-1892Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu:
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice. 1893-1900Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat:
Approximation and Hardness of Shift-Bribery. 1901-1908Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanislaw Szufa, Nimrod Talmon:
How Similar Are Two Elections? 1909-1916Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games. 1917-1925Michail Fasoulakis, Evangelos Markakis:
An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria. 1926-1932Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David E. Narváez:
Very Hard Electoral Control Problems. 1933-1940Till Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker:
Fair Knapsack. 1941-1948Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata:
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. 1949-1956Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan:
An Equivalence between Wagering and Fair-Division Mechanisms. 1957-1964Eric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker:
Fair and Efficient Memory Sharing: Confronting Free Riders. 1965-1972Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik:
Multi-Unit Bilateral Trade. 1973-1980Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin:
On the Distortion Value of the Elections with Abstention. 1981-1988Gagan Goel, Vahab S. Mirrokni, Renato Paes Leme:
Pareto Efficient Auctions with Interest Rates. 1989-1995Naman Goel, Boi Faltings:
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd. 1996-2003Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi:
You Get What You Share: Incentives for a Sharing Economy. 2004-2011Joachim Gudmundsson, Sampson Wong:
Computing the Yolk in Spatial Voting Games without Computing Median Lines. 2012-2019Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. 2020-2028Karel Horák, Branislav Bosanský:
Solving Partially Observable Stochastic Games with Public Observations. 2029-2036Sen Huang, Mingyu Xiao:
Object Reachability via Swaps along a Line. 2037-2044Ayumi Igarashi, Dominik Peters:
Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints. 2045-2052Ayumi Igarashi, Jakub Sliwinski, Yair Zick:
Forming Probably Stable Communities with Limited Interactions. 2053-2060Batya Kenig, Benny Kimelfeld:
Approximate Inference of Outcomes in Probabilistic Elections. 2061-2068Omer Lev, Yoad Lewenberg:
"Reverse Gerrymandering": Manipulation in Multi-Group Decision Making. 2069-2076Omer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov:
Heuristic Voting as Ordinal Dominance Strategies. 2077-2084Kai Li, Dong Hao:
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games. 2085-2092Zhuoshu Li, Sanmay Das:
Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions. 2093-2100Ilan Lobel, Renato Paes Leme:
Dynamic Contracting under Positive Commitment. 2101-2108Pasin Manurangsi, Warut Suksompong:
When Do Envy-Free Allocations Exist? 2109-2116Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm:
Quasi-Perfect Stackelberg Equilibrium. 2117-2124Vahab S. Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo:
Optimal Dynamic Auctions Are Virtual Welfare Maximizers. 2125-2132Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman:
Deception in Finitely Repeated Security Games. 2133-2140Hoon Oh, Ariel D. Procaccia, Warut Suksompong:
Fairly Allocating Many Goods with Few Queries. 2141-2148Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo:
Learning Optimal Strategies to Commit To. 2149-2156Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling:
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. 2157-2164Sujoy Sikdar, Sibel Adali, Lirong Xia:
Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles. 2165-2172Samuel Sokota, Caleb Ho, Bryce Wiedenbeck:
Learning Deviation Payoffs in Simulation-Based Games. 2173-2180Nimrod Talmon, Piotr Faliszewski:
A Framework for Approval-Based Budgeting Methods. 2181-2188Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia:
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking. 2189-2196Tomasz Was, Talal Rahwan, Oskar Skibski:
Random Walk Decay Centrality. 2197-2204Anaëlle Wilczynski:
Poll-Confident Voters in Iterative Voting. 2205-2212Bryan Wilder, Yevgeniy Vorobeychik:
Defending Elections against Malicious Spread of Misinformation. 2213-2220Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas:
A Unified Approach to Online Matching with Conflict-Aware Constraints. 2221-2228Hanrui Zhang, Yu Cheng, Vincent Conitzer:
A Better Algorithm for Societal Tradeoffs. 2229-2236Hanrui Zhang, Vincent Conitzer:
A PAC Framework for Aggregating Agents' Judgments. 2237-2244Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng:
Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach. 2245-2252Tianhang Zheng, Changyou Chen, Kui Ren:
Distributionally Adversarial Attack. 2253-2260
AAAI Technical Track: Heuristic Search and Optimization
Junwen Ding, Zhipeng Lü, Chu-Min Li, Liji Shen, Liping Xu, Fred W. Glover:
A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem. 2262-2271Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger:
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints. 2272-2279Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer:
Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction. 2280-2287Robert C. Holte, Sandra Zilles:
On the Optimal Efficiency of Cost-Algebraic A. 2288-2295Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He:
Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem. 2296-2303Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama:
Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization. 2304-2313Juho Lauri, Sourav Dutta:
Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems. 2314-2321Andrei Lissovoi, Pietro Simone Oliveto, John Alasdair Warwicker:
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. 2322-2329Julian R. H. Mariño, Rubens O. Moraes, Cláudio Toledo, Levi H. S. Lelis:
Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games. 2330-2337Andrew Mitchell, Wheeler Ruml, Fabian Spaniol, Jörg Hoffmann, Marek Petrik:
Real-Time Planning as Decision-Making under Uncertainty. 2338-2345Frank Neumann, Andrew M. Sutton:
Evolving Solutions to Community-Structured Satisfiability Formulas. 2346-2353Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich:
Pareto Optimization for Subset Selection with Dynamic Cost Constraints. 2354-2361Christopher D. Rosin:
Stepping Stones to Inductive Synthesis of Low-Level Looping Programs. 2362-2370Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon Eyal Shimony:
Allocating Planning Effort When Actions Expire. 2371-2378Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal Shimony, Avi Hayoun:
Enriching Non-Parametric Bidirectional Search Algorithms. 2379-2386Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo:
Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems. 2387-2394Thomas Weise, Zijun Wu, Markus Wagner:
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search. 2395-2402Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang:
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization. 2403-2410
AAAI Technical Track: Human-AI Collaboration
Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller:
One-Network Adversarial Fairness. 2412-2420Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang:
Making Money from What You Know - How to Sell Information? 2421-2428Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. 2429-2437Alvaro H. C. Correia, Freddy Lécué:
Human-in-the-Loop Feature Selection. 2438-2445Gil Einziger, Maayan Goldstein, Yaniv Sa'ar, Itai Segall:
Verifying Robustness of Gradient Boosted Models. 2446-2453Andrew Forney, Elias Bareinboim:
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding. 2454-2461Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. 2462-2470Mingxuan Jing, Xiaojian Ma, Wen-bing Huang, Fuchun Sun, Huaping Liu:
Task Transfer by Preference-Based Cost Learning. 2471-2478Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
A Unified Framework for Planning in Adversarial and Cooperative Environments. 2479-2487Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao:
RGBD Based Gaze Estimation via Multi-Task CNN. 2488-2495Yuzuru Okajima, Kunihiko Sadamasa:
Deep Neural Networks Constrained by Decision Rules. 2496-2505Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He:
Geometry-Aware Face Completion and Editing. 2506-2513Nicholay Topin, Manuela Veloso:
Generation of Policy-Level Explanations for Reinforcement Learning. 2514-2521Vaibhav V. Unhelkar, Julie A. Shah:
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. 2522-2530Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib:
Augmenting Markov Decision Processes with Advising. 2531-2538Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions. 2539-2546Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun:
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. 2547-2554
AAAI Technical Track: Humans and AI
Abhay M. S. Aradhya, Aditya Joglekar, Sundaram Suresh, Mahardhika Pratama:
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI. 2556-2563Nan Cao, Xin Yan, Yang Shi, Chaoran Chen:
AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches. 2564-2571Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi:
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm. 2572-2579Xiao Guo, Jongmoo Choi:
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies. 2580-2587Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann:
Lipper: Synthesizing Thy Speech Using Multi-View Lipreading. 2588-2595Keting Lu, Shiqi Zhang, Xiaoping Chen:
Goal-Oriented Dialogue Policy Learning from Failures. 2596-2603Rafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis:
Be Inaccurate but Don't Be Indecisive: How Error Distribution Can Affect User Experience. 2604-2611Hermann Schichl, Meinolf Sellmann:
Consensual Affine Transformations for Partial Valuation Aggregation. 2612-2619Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer:
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions. 2620-2627
AAAI Technical Track: Human-Computation and Crowd Sourcing
Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng:
Preference-Aware Task Assignment in Spatial Crowdsourcing. 2629-2636
AAAI Technical Track: Knowledge Representation and Reasoning
Erman Acar, Massimo Benerecetti, Fabio Mogavero:
Satisfiability in Strategy Logic Can Be Easier than Model Checking. 2638-2645Natasha Alechina, Tomás Brázdil, Giuseppe De Giacomo, Paolo Felli, Brian Logan, Moshe Y. Vardi:
Unbounded Orchestrations of Transducers for Manufacturing. 2646-2653Medina Andresel, Yazmin Ibáñez-García, Magdalena Ortiz, Mantas Simkus:
Relaxing and Restraining Queries for OBDA. 2654-2661Alexander Bagnall, Gordon Stewart:
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees. 2662-2669Ringo Baumann, Gerhard Brewka:
Extension Removal in Abstract Argumentation - An Axiomatic Approach. 2670-2677Sander Beckers, Joseph Y. Halpern:
Abstracting Causal Models. 2678-2685Bart Bogaerts:
Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory. 2686-2693Jori Bomanson, Tomi Janhunen, Antonius Weinzierl:
Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming. 2694-2702Blai Bonet, Guillem Francès, Hector Geffner:
Learning Features and Abstract Actions for Computing Generalized Plans. 2703-2710Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data. 2711-2718Camille Bourgaux, Ana Ozaki:
Querying Attributed DL-Lite Ontologies Using Provenance Semirings. 2719-2726Andreas Bunte, Benno Stein, Oliver Niggemann:
Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. 2727-2735David Carral, Larry González, Patrick Koopmann:
From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment. 2736-2743Juan D. Correa, Jin Tian, Elias Bareinboim:
Identification of Causal Effects in the Presence of Selection Bias. 2744-2751Kristijonas Cyras, Dimitrios Letsios, Ruth Misener, Francesca Toni:
Argumentation for Explainable Scheduling. 2752-2759Daniel de Leng, Fredrik Heintz:
Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty. 2760-2767Warren Del-Pinto, Renate A. Schmidt:
ABox Abduction via Forgetting in ALC. 2768-2775Heshan Du, Natasha Alechina:
Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable. 2776-2783Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen, Yu Deng:
Validation of Growing Knowledge Graphs by Abductive Text Evidences. 2784-2791Phan Minh Dung, Phan Minh Thang, Tran Cao Son:
On Structured Argumentation with Conditional Preferences. 2792-2800Wolfgang Dvorák, Stefan Woltran:
Complexity of Abstract Argumentation under a Claim-Centric View. 2801-2808Wolfgang Faber, Michael Morak, Stefan Woltran:
Strong Equivalence for Epistemic Logic Programs Made Easy. 2809-2816Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen:
Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability. 2817-2826Johannes Klaus Fichte, Markus Hecher, Arne Meier:
Counting Complexity for Reasoning in Abstract Argumentation. 2827-2834Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. 2835-2842Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran:
Forgetting in Modular Answer Set Programming. 2843-2850Joseph Y. Halpern, Evan Piermont:
Partial Awareness. 2851-2858Pan Hu, Boris Motik, Ian Horrocks:
Modular Materialisation of Datalog Programs. 2859-2866Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei:
Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions. 2867-2875Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar:
Minimum Intervention Cover of a Causal Graph. 2876-2885Phokion G. Kolaitis, Lucian Popa, Kun Qian:
Knowledge Refinement via Rule Selection. 2886-2894Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng:
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. 2895-2902Patrick Koopmann:
Ontology-Based Query Answering for Probabilistic Temporal Data. 2903-2910Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky:
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise. 2911-2918Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
Representing and Learning Grammars in Answer Set Programming. 2919-2928Tiep Le, Tran Cao Son, Enrico Pontelli:
Multi-Context System for Optimization Problems. 2929-2937Tuomo Lehtonen, Johannes Peter Wallner, Matti Järvisalo:
Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings. 2938-2945Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi:
SAT-Based Explicit LTLf Satisfiability Checking. 2946-2953Zi Lin, Yang Liu:
Implanting Rational Knowledge into Distributed Representation at Morpheme Level. 2954-2961Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. 2962-2969Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. 2970-2977Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao:
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. 2978-2985Takanori Maehara, Yuma Inoue:
Group Decision Diagram (GDD): A Compact Representation for Permutations. 2986-2994Stephanie McIntyre, Alexander Borgida, David Toman, Grant E. Weddell:
On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics. 2995-3002Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral:
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. 3003-3010Pavel Naumov, Jia Tao:
Blameworthiness in Strategic Games. 3011-3018Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann:
Belief Change and Non-Monotonic Reasoning Sans Compactness. 3019-3026Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. 3027-3035Md. Kamruzzaman Sarker, Pascal Hitzler:
Efficient Concept Induction for Description Logics. 3036-3043Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait:
An Open-World Extension to Knowledge Graph Completion Models. 3044-3051Farhad Shakerin, Gopal Gupta:
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME. 3052-3059Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou:
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. 3060-3067Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Amalgamating Knowledge towards Comprehensive Classification. 3068-3075Marlo Souza, Álvaro F. Moreira, Renata Vieira:
Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach. 3076-3083Roni Stern, Brendan Juba:
Safe Partial Diagnosis from Normal Observations. 3084-3091Przemyslaw Andrzej Walega, Mark Kaminski, Bernardo Cuenca Grau:
Reasoning over Streaming Data in Metric Temporal Datalog. 3092-3099Jun Yuan, Neng Gao, Ji Xiang:
TransGate: Knowledge Graph Embedding with Shared Gate Structure. 3100-3107Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang:
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test. 3108-3115Yizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt, Hao Feng, Giorgos Stoilos, Damir Juric, Mohammad Khodadadi:
Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach. 3116-3124Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang:
On Completing Sparse Knowledge Base with Transitive Relation Embedding. 3125-3132
AAAI Technical Track: Machine Learning
David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong:
State Abstraction as Compression in Apprenticeship Learning. 3134-3142Karim T. Abou-Moustafa, Csaba Szepesvári:
An Exponential Tail Bound for the Deleted Estimate. 3143-3150Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki:
Model Learning for Look-Ahead Exploration in Continuous Control. 3151-3158Rami Al-Rfou', Dokook Choe, Noah Constant, Mandy Guo, Llion Jones:
Character-Level Language Modeling with Deeper Self-Attention. 3159-3166Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I. P. Rubinstein:
Attacking Data Transforming Learners at Training Time. 3167-3174Abdul Fatir Ansari, Harold Soh:
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. 3175-3182Chidubem Arachie, Bert Huang:
Adversarial Label Learning. 3183-3190Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu:
Robust Negative Sampling for Network Embedding. 3191-3198Kyohei Atarashi, Subhransu Maji, Satoshi Oyama:
Random Feature Maps for the Itemset Kernel. 3199-3206Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer:
High Dimensional Clustering with r-nets. 3207-3214Wissam J. Baddar, Yong Man Ro:
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition. 3215-3223Christopher Bartley, Wei Liu, Mark Reynolds:
Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification. 3224-3231Ege Beyazit, Jeevithan Alagurajah, Xindong Wu:
Online Learning from Data Streams with Varying Feature Spaces. 3232-3239Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. 3240-3247Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira:
Deep Convolutional Sum-Product Networks. 3248-3255Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin:
FRAME Revisited: An Interpretation View Based on Particle Evolution. 3256-3263Junyu Cao, Wei Sun:
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue. 3264-3271Miriam Cha, Youngjune L. Gwon, H. T. Kung:
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. 3272-3279Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio:
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. 3280-3287Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales:
Disjoint Label Space Transfer Learning with Common Factorised Space. 3288-3295Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin:
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation. 3296-3303Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen:
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. 3304-3311Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu:
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. 3312-3320Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. 3321-3328Shangyu Chen, Wenya Wang, Sinno Jialin Pan:
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data. 3329-3336Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang:
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks. 3337-3346Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li:
Data-Adaptive Metric Learning with Scale Alignment. 3347-3354Weijie Chen, Yuan Zhang, Di Xie, Shiliang Pu:
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks. 3355-3362Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo:
Embedding Uncertain Knowledge Graphs. 3363-3370Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu:
Tensor Decomposition for Multilayer Networks Clustering. 3371-3378Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang:
Image Block Augmentation for One-Shot Learning. 3379-3386Richard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick:
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks. 3387-3395Daeyoung Choi, Wonjong Rhee:
Utilizing Class Information for Deep Network Representation Shaping. 3396-3403Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong:
Diverse Exploration via Conjugate Policies for Policy Gradient Methods. 3404-3411Eric Crawford, Joelle Pineau:
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks. 3412-3420Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti:
Efficient Online Learning for Mapping Kernels on Linguistic Structures. 3421-3428Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen:
Learning Segmentation Masks with the Independence Prior. 3429-3436Sumanth Dathathri, Sicun Gao, Richard M. Murray:
Inverse Abstraction of Neural Networks Using Symbolic Interpolation. 3437-3444Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens:
Balanced Linear Contextual Bandits. 3445-3453Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao:
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. 3454-3461Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao:
Approximate Kernel Selection with Strong Approximate Consistency. 3462-3469Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
On-Line Adaptative Curriculum Learning for GANs. 3470-3477Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan:
Multistream Classification with Relative Density Ratio Estimation. 3478-3485Qi Dong, Xiatian Zhu, Shaogang Gong:
Single-Label Multi-Class Image Classification by Deep Logistic Regression. 3486-3493Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. 3494-3501Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang:
Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection. 3502-3509Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. 3510-3517Jun-Peng Fang, Min-Ling Zhang:
Partial Multi-Label Learning via Credible Label Elicitation. 3518-3525Bahare Fatemi, Siamak Ravanbakhsh, David Poole:
Improved Knowledge Graph Embedding Using Background Taxonomic Information. 3526-3533Chao Feng, Chao Qian, Ke Tang:
Unsupervised Feature Selection by Pareto Optimization. 3534-3541Lei Feng, Bo An:
Partial Label Learning with Self-Guided Retraining. 3542-3549Lei Feng, Bo An, Shuo He:
Collaboration Based Multi-Label Learning. 3550-3557Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao:
Hypergraph Neural Networks. 3558-3565Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini:
Transductive Bounds for the Multi-Class Majority Vote Classifier. 3566-3573Stanislav Fort, Adam Scherlis:
The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes. 3574-3581Vincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau:
Combined Reinforcement Learning via Abstract Representations. 3582-3589Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda:
Efficient Data Point Pruning for One-Class SVM. 3590-3597Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki:
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing. 3598-3605Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama:
Bayesian Posterior Approximation via Greedy Particle Optimization. 3606-3613Jinyang Gao, Junjie Yao, Yingxia Shao:
Towards Reliable Learning for High Stakes Applications. 3614-3621Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie:
Explainable Recommendation through Attentive Multi-View Learning. 3622-3629Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans:
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. 3630-3637Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang:
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. 3638-3646Carles Gelada, Marc G. Bellemare:
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift. 3647-3655Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu:
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. 3656-3663AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang:
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. 3664-3671Soheil Ghili, Ehsan Kazemi, Amin Karbasi:
Eliminating Latent Discrimination: Train Then Mask. 3672-3680Amirata Ghorbani, Abubakar Abid, James Y. Zou:
Interpretation of Neural Networks Is Fragile. 3681-3688Joachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider:
Using Benson's Algorithm for Regularization Parameter Tracking. 3689-3696Bin Gu, Zhouyuan Huo, Heng Huang:
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. 3697-3704Ning Gui, Danni Ge, Ziyin Hu:
AFS: An Attention-Based Mechanism for Supervised Feature Selection. 3705-3713Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-of-Manifold Regularization. 3714-3722Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu:
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. 3723-3730Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao:
Smooth Deep Image Generator from Noises. 3731-3738Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. 3739-3746Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai:
Distributional Semantics Meets Multi-Label Learning. 3747-3754Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer:
Temporal Anomaly Detection: Calibrating the Surprise. 3755-3762Xiao He, Francesco Alesiani, Ammar Shaker:
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks. 3763-3770Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. 3771-3778Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. 3779-3787Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik:
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. 3788-3795Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt:
Multi-Task Deep Reinforcement Learning with PopArt. 3796-3803Fuxing Hong, Dongbo Huang, Ge Chen:
Interaction-Aware Factorization Machines for Recommender Systems. 3804-3811Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell:
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. 3812-3821Hao Hu, Liqiang Wang, Guo-Jun Qi:
Learning to Adaptively Scale Recurrent Neural Networks. 3822-3829Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan:
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. 3830-3837Menglei Hu, Songcan Chen:
One-Pass Incomplete Multi-View Clustering. 3838-3845Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai:
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. 3846-3853Kun Huang, Bingbing Ni, Xiaokang Yang:
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations. 3854-3861Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri:
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. 3862-3869Wenzhen Huang, Junge Zhang, Kaiqi Huang:
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. 3870-3877Xiao Huang, Qingquan Song, Fan Yang, Xia Hu:
Large-Scale Heterogeneous Feature Embedding. 3878-3885Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets. 3886-3893Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang:
Inter-Class Angular Loss for Convolutional Neural Networks. 3894-3901Tsuyoshi Idé:
Tensorial Change Analysis Using Probabilistic Tensor Regression. 3902-3909Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai:
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. 3910-3918Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada:
Estimating the Causal Effect from Partially Observed Time Series. 3919-3926Roxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios S. Nikolopoulos, Constantine Bekas, Adelmo Cristiano Innocenza Malossi:
TAPAS: Train-Less Accuracy Predictor for Architecture Search. 3927-3934Tomoharu Iwata, Hitoshi Shimizu:
Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data. 3935-3942Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White:
Meta-Descent for Online, Continual Prediction. 3943-3950Vinamra Jain, Prashant Doshi, Bikramjit Banerjee:
Model-Free IRL Using Maximum Likelihood Estimation. 3951-3958Jaromír Janisch, Tomás Pevný, Viliam Lisý:
Classification with Costly Features Using Deep Reinforcement Learning. 3959-3966Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon:
Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data. 3967-3974Bin-Bin Jia, Min-Ling Zhang:
Multi-Dimensional Classification via kNN Feature Augmentation. 3975-3982Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen:
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. 3983-3990Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri:
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel. 3991-3998Heinrich Jiang:
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression. 3999-4006Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang:
Gaussian-Induced Convolution for Graphs. 4007-4014Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao:
SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks. 4015-4022Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge:
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. 4023-4030Sunghwan Joo, Sungmin Cha, Taesup Moon:
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. 4031-4038Brendan Juba, Hai S. Le:
Precision-Recall versus Accuracy and the Role of Large Data Sets. 4039-4048Ata Kabán:
Dimension-Free Error Bounds from Random Projections. 4049-4056Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu:
Similarity Learning via Kernel Preserving Embedding. 4057-4064Rohit Keshari, Richa Singh, Mayank Vatsa:
Guided Dropout. 4065-4072Shun Kiyono, Jun Suzuki, Kentaro Inui:
Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. 4073-4081Matthew Klawonn, Eric Heim, James Hendler:
Exploiting Class Learnability in Noisy Data. 4082-4089Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami:
Active Generative Adversarial Network for Image Classification. 4090-4097Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor:
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. 4098-4105Atsutoshi Kumagai, Tomoharu Iwata:
Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations. 4106-4113Richard Kurle, Stephan Günnemann, Patrick van der Smagt:
Multi-Source Neural Variational Inference. 4114-4121Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama:
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy. 4122-4129Yi-Yu Lai, Jennifer Neville, Dan Goldwasser:
TransConv: Relationship Embedding in Social Networks. 4130-4138Liang Lan, Yu Geng:
Accurate and Interpretable Factorization Machines. 4139-4146Jay Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime G. Carbonell:
Gradient-Based Inference for Networks with Output Constraints. 4147-4154Kyubin Lee, Akshay Sood, Mark Craven:
Understanding Learned Models by Identifying Important Features at the Right Resolution. 4155-4163Sanghack Lee, Elias Bareinboim:
Structural Causal Bandits with Non-Manipulable Variables. 4164-4172Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin:
Communication-Efficient Stochastic Gradient MCMC for Neural Networks. 4173-4180Jia Li, Cong Fang, Zhouchen Lin:
Lifted Proximal Operator Machines. 4181-4188Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
From Zero-Shot Learning to Cold-Start Recommendation. 4189-4196Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang:
X-DMM: Fast and Scalable Model Based Text Clustering. 4197-4204Ping Li:
Sign-Full Random Projections. 4205-4212Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart J. Russell:
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. 4213-4220Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin:
Spectral Clustering in Heterogeneous Information Networks. 4221-4228Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar:
Learning Adaptive Random Features. 4229-4236Yu-Feng Li, Hai Wang, Tong Wei, Wei-Wei Tu:
Towards Automated Semi-Supervised Learning. 4237-4244Zejian Li, Yongchuan Tang, Wei Li, Yongxing He:
Learning Disentangled Representation with Pairwise Independence. 4245-4252Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li:
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. 4253-4260Ziyao Li, Liang Zhang, Guojie Song:
SepNE: Bringing Separability to Network Embedding. 4261-4268Shangsong Liang:
Collaborative, Dynamic and Diversified User Profiling. 4269-4276Yitao Liang, Guy Van den Broeck:
Learning Logistic Circuits. 4277-4286Siyu Liao, Bo Yuan:
CircConv: A Structured Convolution with Low Complexity. 4287-4294Rung-Tzuo Liaw, Chuan-Kang Ting:
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis. 4295-4303Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao:
Non-Compensatory Psychological Models for Recommender Systems. 4304-4311Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. 4312-4319Zhenhua Lin, Hongtu Zhu:
MFPCA: Multiscale Functional Principal Component Analysis. 4320-4327Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia:
Learning Plackett-Luce Mixtures from Partial Preferences. 4328-4335Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia:
Near-Neighbor Methods in Random Preference Completion. 4336-4343Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu:
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently. 4344-4351Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Trust Region Evolution Strategies. 4352-4359Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung:
Learning Multi-Task Communication with Message Passing for Sequence Learning. 4360-4367Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo:
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI. 4368-4375Rui Liu, Tianyi Wu, Barzan Mozafari:
A Bandit Approach to Maximum Inner Product Search. 4376-4383Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. 4384-4391Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao:
Efficient and Effective Incomplete Multi-View Clustering. 4392-4399Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-Based Deep Cross-Modal Hashing. 4400-4407Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang:
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. 4408-4415Zhao-Yang Liu, Sheng-Jun Huang:
Active Sampling for Open-Set Classification without Initial Annotation. 4416-4423Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. 4424-4431Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. 4432-4439Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li:
Super Sparse Convolutional Neural Networks. 4440-4447You Lu, Zhiyuan Liu, Bert Huang:
Block Belief Propagation for Parameter Learning in Markov Random Fields. 4448-4455Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu:
Relation Structure-Aware Heterogeneous Information Network Embedding. 4456-4463Chen Luo, Anshumali Shrivastava:
Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS). 4464-4471Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Orthogonality-Promoting Dictionary Learning via Bayesian Inference. 4472-4479Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. 4480-4487Simon Luo, Mahito Sugiyama:
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. 4488-4495Siqiang Luo:
Distributed PageRank Computation: An Improved Theoretical Study. 4496-4503Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro:
A Comparative Analysis of Expected and Distributional Reinforcement Learning. 4504-4511Shuai Ma, Jia Yuan Yu:
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning. 4512-4519Yuchao Ma, Hassan Ghasemzadeh:
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition. 4520-4527Kehelwala D. G. Maduranga, Kyle E. Helfrich, Qiang Ye:
Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform. 4528-4535Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody:
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure. 4536-4543Maggie Makar, Adith Swaminathan, Emre Kiciman:
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. 4544-4551André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista:
DyS: A Framework for Mixture Models in Quantification. 4552-4560Raghuram Mandyam Annasamy, Katia P. Sycara:
Towards Better Interpretability in Deep Q-Networks. 4561-4569Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li:
Cost-Sensitive Learning to Rank. 4570-4577Shaobo Min, Xuejin Chen, Zheng-Jun Zha, Feng Wu, Yongdong Zhang:
A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels. 4578-4585Di Ming, Chris Ding, Feiping Nie:
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections. 4586-4593Kohei Miyaguchi, Hiroshi Kajino:
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting. 4594-4601Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. 4602-4609Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan:
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks. 4610-4617So Nakashima, Takanori Maehara:
Subspace Selection via DR-Submodular Maximization on Lattices. 4618-4625Hyoungwook Nam, Segwang Kim, Kyomin Jung:
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks. 4626-4633Yusuke Narita, Shota Yasui, Kohei Yata:
Efficient Counterfactual Learning from Bandit Feedback. 4634-4641Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu:
Multigrid Backprojection Super-Resolution and Deep Filter Visualization. 4642-4650Alexander G. Ororbia II, Ankur Mali:
Biologically Motivated Algorithms for Propagating Local Target Representations. 4651-4658Takayuki Osogami, Rudy Raymond:
Determinantal Reinforcement Learning. 4659-4666Dipan K. Pal, Marios Savvides:
Non-Parametric Transformation Networks for Learning General Invariances from Data. 4667-4674Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang:
Policy Optimization with Model-Based Explorations. 4675-4682Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu:
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. 4683-4690Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu:
On Reinforcement Learning for Full-Length Game of StarCraft. 4691-4698Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. 4699-4706Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen:
Trainable Undersampling for Class-Imbalance Learning. 4707-4714M. Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez:
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. 4715-4722Mirko Polato, Fabio Aiolli:
Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning. 4723-4730Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luís C. Lamb, Moshe Y. Vardi:
Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP. 4731-4738Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. 4739-4746You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu:
Composite Binary Decomposition Networks. 4747-4754Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee:
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. 4755-4762Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. 4763-4771Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh:
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. 4772-4779Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le:
Regularized Evolution for Image Classifier Architecture Search. 4780-4789Ievgen Redko, Charlotte Laclau:
On Fair Cost Sharing Games in Machine Learning. 4790-4797Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. 4798-4805Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke:
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. 4806-4813Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao:
Devil in the Details: Towards Accurate Single and Multiple Human Parsing. 4814-4821Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard:
Latent Multi-Task Architecture Learning. 4822-4829Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya:
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? 4830-4837Tomoya Sakai, Nobuyuki Shimizu:
Covariate Shift Adaptation on Learning from Positive and Unlabeled Data. 4838-4845Patrick Schwab, Djordje Miladinovic, Walter Karlen:
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks. 4846-4853Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich:
Congestion Graphs for Automated Time Predictions. 4854-4861Kristen A. Severson, Soumya Ghosh, Kenney Ng:
Unsupervised Learning with Contrastive Latent Variable Models. 4862-4869Kulin Shah, Naresh Manwani:
Sparse Reject Option Classifier Using Successive Linear Programming. 4870-4877Jin Shang, Mingxuan Sun:
Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks. 4878-4885Zhiqiang Shen, Zhankui He, Xiangyang Xue:
MEAL: Multi-Model Ensemble via Adversarial Learning. 4886-4893Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang:
Multi-View Anomaly Detection: Neighborhood in Locality Matters. 4894-4901Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng:
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. 4902-4909Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo:
Automatic Code Review by Learning the Revision of Source Code. 4910-4917Xiaofei Shi, David P. Woodruff:
Sublinear Time Numerical Linear Algebra for Structured Matrices. 4918-4925Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan:
Label Embedding with Partial Heterogeneous Contexts. 4926-4933David Shriver, Sebastian G. Elbaum, Matthew B. Dwyer, David S. Rosenblum:
Evaluating Recommender System Stability with Influence-Guided Fuzzing. 4934-4942Hai Shu, Hongtu Zhu:
Sensitivity Analysis of Deep Neural Networks. 4943-4950Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Transferable Curriculum for Weakly-Supervised Domain Adaptation. 4951-4958Aditya Siddhant, Anuj Kumar Goyal, Angeliki Metallinou:
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents. 4959-4966Thiago D. Simão, Matthijs T. J. Spaan:
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments. 4967-4974Christopher L. Simpkins, Charles L. Isbell Jr.:
Composable Modular Reinforcement Learning. 4975-4982Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context Enabled Recurrent Neural Network for Recommendation. 4983-4991Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu:
Diversity-Driven Extensible Hierarchical Reinforcement Learning. 4992-4999Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka:
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. 5000-5007Kai Su, Xin Geng:
Soft Facial Landmark Detection by Label Distribution Learning. 5008-5015Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin:
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition. 5016-5023Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao:
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1, +1}. 5024-5032Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang:
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms. 5033-5040Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm:
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model. 5041-5048Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Learning Vine Copula Models for Synthetic Data Generation. 5049-5057Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi:
Matrix Completion for Graph-Based Deep Semi-Supervised Learning. 5058-5065Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi:
Variational Autoencoder with Implicit Optimal Priors. 5066-5073Sho Takase, Jun Suzuki, Masaaki Nagata:
Character n-Gram Embeddings to Improve RNN Language Models. 5074-5082Zhi-Hao Tan, Teng Zhang, Wei Wang:
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine. 5083-5090Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda:
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. 5091-5099Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang:
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. 5101-5108Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu:
An Integral Tag Recommendation Model for Textual Content. 5109-5116Ying-Peng Tang, Sheng-Jun Huang:
Self-Paced Active Learning: Query the Right Thing at the Right Time. 5117-5124Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu:
A Radical-Aware Attention-Based Model for Chinese Text Classification. 5125-5132Pooya Tavallali, Peyman Tavallali, Mukesh Singhal:
Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees. 5133-5142Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh:
Holographic Factorization Machines for Recommendation. 5143-5150Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama:
Clipped Matrix Completion: A Remedy for Ceiling Effects. 5151-5158Erik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi:
A Non-Convex Optimization Approach to Correlation Clustering. 5159-5166Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan:
Learning Competitive and Discriminative Reconstructions for Anomaly Detection. 5167-5174Saket Tiwari, Philip S. Thomas:
Natural Option Critic. 5175-5182Christopher Tran, Elena Zheleva:
Learning Triggers for Heterogeneous Treatment Effects. 5183-5190Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung:
Improving GAN with Neighbors Embedding and Gradient Matching. 5191-5198Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li:
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. 5199-5206Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera:
Automatic Bayesian Density Analysis. 5207-5215Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung:
Robust Anomaly Detection in Videos Using Multilevel Representations. 5216-5223Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen:
CAMO: A Collaborative Ranking Method for Content Based Recommendation. 5224-5231Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang:
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details. 5232-5239Hanmo Wang, Runwu Zhou, Yi-Dong Shen:
Bounding Uncertainty for Active Batch Selection. 5240-5247Haoyu Wang, Nan Shao, Defu Lian:
Adversarial Binary Collaborative Filtering for Implicit Feedback. 5248-5255Jing Wang, Xin Geng:
Theoretical Analysis of Label Distribution Learning. 5256-5263Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi:
Orderly Subspace Clustering. 5264-5272Jingyuan Wang, Kai Feng, Junjie Wu:
SVM-Based Deep Stacking Networks. 5273-5280Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. 5281-5288Shaoqi Wang, Aidi Pi, Xiaobo Zhou:
Scalable Distributed DL Training: Batching Communication and Computation. 5289-5296Shipeng Wang, Jian Sun, Zongben Xu:
HyperAdam: A Learnable Task-Adaptive Adam for Network Training. 5297-5304Shusen Wang:
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression. 5305-5312Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang:
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. 5313-5320Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi:
SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection. 5321-5328Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. 5329-5336Xiao Wang, Yiding Zhang, Chuan Shi:
Hyperbolic Heterogeneous Information Network Embedding. 5337-5344Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang:
Transferable Attention for Domain Adaptation. 5345-5352Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. 5353-5360Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson:
Deep Metric Learning by Online Soft Mining and Class-Aware Attention. 5361-5368Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin:
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. 5369-5376Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. 5377-5384Tong Wei, Yu-Feng Li:
Learning Compact Model for Large-Scale Multi-Label Data. 5385-5392Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu:
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering. 5393-5400Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan:
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation. 5401-5408Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu:
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. 5409-5416Florian Wenzel, Théo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper:
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation. 5417-5424Jacob Whitehill:
How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? 5425-5432Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai:
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. 5433-5440Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas:
Point Cloud Processing via Recurrent Set Encoding. 5441-5449Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong:
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks. 5450-5457Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. 5458-5465Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin:
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. 5466-5473Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng:
Bayesian Deep Collaborative Matrix Factorization. 5474-5481Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi Fang:
RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace. 5482-5489Hong Xie, Yongkun Li, John C. S. Lui:
Understanding Persuasion Cascades in Online Product Rating Systems. 5490-5497Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Learning Dynamic Generator Model by Alternating Back-Propagation through Time. 5498-5507Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo:
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. 5508-5515Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan:
SpHMC: Spectral Hamiltonian Monte Carlo. 5516-5524Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu:
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks. 5525-5532Changdong Xu, Xin Geng:
Hierarchical Classification Based on Label Distribution Learning. 5533-5540Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang:
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data. 5541-5548Liyuan Xu, Junya Honda, Masashi Sugiyama:
Dueling Bandits with Qualitative Feedback. 5549-5556Ning Xu, Jiaqi Lv, Xin Geng:
Partial Label Learning via Label Enhancement. 5557-5564Ting-Bing Xu, Cheng-Lin Liu:
Data-Distortion Guided Self-Distillation for Deep Neural Networks. 5565-5572Yao Xu, Xueshuang Xiang, Meiyu Huang:
Task-Driven Common Representation Learning via Bridge Neural Network. 5573-5580Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang:
Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation. 5581-5588Yanbing Xue, Milos Hauskrecht:
Active Learning of Multi-Class Classification Models from Ordered Class Sets. 5589-5596Bo Yan, Chuming Lin, Weimin Tan:
Frame and Feature-Context Video Super-Resolution. 5597-5604Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu:
Oversampling for Imbalanced Data via Optimal Transport. 5605-5612Baoyao Yang, Pong C. Yuen:
Cross-Domain Visual Representations via Unsupervised Graph Alignment. 5613-5620Bin-Bin Yang, Song-Qing Shen, Wei Gao:
Weighted Oblique Decision Trees. 5621-5627Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille:
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students. 5628-5635Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao:
Confidence Weighted Multitask Learning. 5636-5643Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu:
Unsupervised Fake News Detection on Social Media: A Generative Approach. 5644-5651Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang:
Deep Robust Unsupervised Multi-Modal Network. 5652-5659Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
Learning Personalized Attribute Preference via Multi-Task AUC Optimization. 5660-5667Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li:
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. 5668-5675Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie:
Balanced Sparsity for Efficient DNN Inference on GPU. 5676-5683Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher:
Iterative Classroom Teaching. 5684-5692Hao Yu, Sen Yang, Shenghuo Zhu:
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning. 5693-5700Joonsang Yu, Sungbum Kang, Kiyoung Choi:
Network Recasting: A Universal Method for Network Architecture Transformation. 5701-5708Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang:
Multi-Order Attentive Ranking Model for Sequential Recommendation. 5709-5716Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji:
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods. 5717-5724Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost:
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition. 5725-5732Chen Zhang, Steven C. H. Hoi:
Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach. 5733-5740Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi:
Active Mini-Batch Sampling Using Repulsive Point Processes. 5741-5748Hanrui Zhang:
Learning Set Functions with Limited Complementarity. 5749-5756Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh:
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications. 5757-5764Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu:
A Powerful Global Test Statistic for Functional Statistical Inference. 5765-5772Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen:
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. 5773-5780Qi Zhang, Richard Lewis, Satinder Singh, Edmund H. Durfee:
Learning to Communicate and Solve Visual Blocks-World Tasks. 5781-5788Shangtong Zhang, Hengshuai Yao:
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search. 5789-5796Shangtong Zhang, Hengshuai Yao:
QUOTA: The Quantile Option Architecture for Reinforcement Learning. 5797-5804Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu:
Hashtag Recommendation for Photo Sharing Services. 5805-5812Yan-Ya Zhang, Ming Li:
Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector. 5813-5820Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Zhang:
CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features. 5821-5828Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay:
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. 5829-5836Yu Zhang, Lei Han:
Learning (from) Deep Hierarchical Structure among Features. 5837-5844Yudong Zhang, Wenhao Zheng, Ming Li:
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially. 5845-5852Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang:
SADIH: Semantic-Aware DIscrete Hashing. 5853-5860Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Submodular Optimization over Streams with Inhomogeneous Decays. 5861-5868Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen:
The Adversarial Attack and Detection under the Fisher Information Metric. 5869-5876Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. 5877-5884Shengjia Zhao, Jiaming Song, Stefano Ermon:
InfoVAE: Balancing Learning and Inference in Variational Autoencoders. 5885-5892Yang Zhao, Jianyi Zhang, Changyou Chen:
Self-Adversarially Learned Bayesian Sampling. 5893-5900Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Biomedical Image Segmentation via Representative Annotation. 5901-5908Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. 5909-5916Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang:
Understanding VAEs in Fisher-Shannon Plane. 5917-5924Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu:
Capacity Control of ReLU Neural Networks by Basis-Path Norm. 5925-5932Zhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng, Cheng Shi, Jiahui Ye:
Self-Supervised Mixture-of-Experts by Uncertainty Estimation. 5933-5940Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. 5941-5948Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo:
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression. 5949-5956Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi:
Communication-Optimal Distributed Dynamic Graph Clustering. 5957-5964Lin Zhu, Yihong Chen, Bowen He:
A Domain Generalization Perspective on Listwise Context Modeling. 5965-5972Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo:
DAN: Deep Attention Neural Network for News Recommendation. 5973-5980Xiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue:
Residual Invertible Spatio-Temporal Network for Video Super-Resolution. 5981-5988Yongchun Zhu, Fuzhen Zhuang, Deqing Wang:
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. 5989-5996Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos:
Consensus Adversarial Domain Adaptation. 5997-6004
AAAI Technical Track: Multiagent Systems
Michael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio, Edoardo Pirovano:
Verification of RNN-Based Neural Agent-Environment Systems. 6006-6013Christopher Archibald, Delma Nieves-Rivera:
Bayesian Execution Skill Estimation. 6014-6021Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli:
Consensus in Opinion Formation Processes in Fully Evolving Environments. 6022-6029Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone:
An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information. 6030-6037Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He:
A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique. 6038-6045Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca:
Distributed Community Detection via Metastability of the 2-Choices Dynamics. 6046-6053Tarun Gupta, Akshat Kumar, Praveen Paruchuri:
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs. 6054-6061Yanlin Han, Piotr J. Gmytrasiewicz:
IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs. 6062-6069Zehong Hu, Jie Zhang, Zhao Li:
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. 6070-6078Woojun Kim, Myungsik Cho, Youngchul Sung:
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning. 6079-6086Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig:
Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding. 6087-6095Xu Li, Mingming Sun, Ping Li:
Multi-Agent Discussion Mechanism for Natural Language Generation. 6096-6103Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. 6104-6111Andrei Lupu, Audrey Durand, Doina Precup:
Leveraging Observations in Bandits: Between Risks and Benefits. 6112-6119Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha:
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents. 6120-6127Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How:
Learning to Teach in Cooperative Multiagent Reinforcement Learning. 6128-6136Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz:
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. 6137-6145Fernando P. Santos, Jorge M. Pacheco, Ana Paiva, Francisco C. Santos:
Evolution of Collective Fairness in Hybrid Populations of Humans and Agents. 6146-6153Wen Shen, Yang Feng, Cristina V. Lopes:
Multi-Winner Contests for Strategic Diffusion in Social Networks. 6154-6162Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum:
Theory of Minds: Understanding Behavior in Groups through Inverse Planning. 6163-6170Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Multiagent Decision Making For Maritime Traffic Management. 6171-6178Fu Song, Yedi Zhang, Taolue Chen, Yu Tang, Zhiwu Xu:
Probabilistic Alternating-Time µ-Calculus. 6179-6186
AAAI Technical Track: Natural Language Processing
Mohamed Abdalla, Magnus Sahlgren, Graeme Hirst:
Enriching Word Embeddings with a Regressor Instead of Labeled Corpora. 6188-6195Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit S. Dhillon:
Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization. 6196-6203Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao:
Antonym-Synonym Classification Based on New Sub-Space Embeddings. 6204-6211Reinald Kim Amplayo, Seung-won Hwang, Min Song:
AutoSense Model for Word Sense Induction. 6212-6219Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan:
Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses. 6220-6227Zied Bouraoui, Steven Schockaert:
Automated Rule Base Completion as Bayesian Concept Induction. 6228-6235Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Borje Karlsson:
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. 6236-6243Jiaao Chen, Jianshu Chen, Zhou Yu:
Incorporating Structured Commonsense Knowledge in Story Completion. 6244-6251Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang:
Deep Short Text Classification with Knowledge Powered Attention. 6252-6259Lingzhen Chen, Alessandro Moschitti:
Transfer Learning for Sequence Labeling Using Source Model and Target Data. 6260-6267Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu:
Title-Guided Encoding for Keyphrase Generation. 6268-6275Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu:
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions. 6276-6283Pengxiang Cheng, Katrin Erk:
Implicit Argument Prediction as Reading Comprehension. 6284-6291Raj Dabre, Atsushi Fujita:
Recurrent Stacking of Layers for Compact Neural Machine Translation Models. 6292-6299Dai Dai, Xinyan Xiao, Yajuan Lyu, Shan Dou, Qiaoqiao She, Haifeng Wang:
Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence Labeling. 6300-6308Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James R. Glass:
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models. 6309-6317Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen:
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. 6318-6325Valerio Di Carlo, Federico Bianchi, Matteo Palmonari:
Training Temporal Word Embeddings with a Compass. 6326-6334Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu:
A Pattern-Based Approach to Recognizing Time Expressions. 6335-6342Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia:
From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. 6343-6350Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu:
Adapting Translation Models for Transcript Disfluency Detection. 6351-6358Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie:
Explicit Interaction Model towards Text Classification. 6359-6366Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si:
"Bilingual Expert" Can Find Translation Errors. 6367-6374Chengzhen Fu, Yan Zhang:
EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context Fusion. 6375-6382Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi:
Generating Multiple Diverse Responses for Short-Text Conversation. 6383-6390Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen:
Structured Two-Stream Attention Network for Video Question Answering. 6391-6398Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan:
Abstractive Text Summarization by Incorporating Reader Comments. 6399-6406Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun:
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. 6407-6414Yifan Gao, Yang Zhong, Daniel Preotiuc-Pietro, Junyi Jessy Li:
Predicting and Analyzing Language Specificity in Social Media Posts. 6415-6422Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. 6423-6430Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo A. Cecchi, Shuyang Gao:
Kernelized Hashcode Representations for Relation Extraction. 6431-6440Erfan Ghadery, Sajad Movahedi, Heshaam Faili, Azadeh Shakery:
MNCN: A Multilingual Ngram-Based Convolutional Network for Aspect Category Detection in Online Reviews. 6441-6448ChengYue Gong, Xu Tan, Di He, Tao Qin:
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning. 6449-6456Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu:
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation. 6457-6464Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen:
Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant. 6465-6472Jian Guan, Yansen Wang, Minlie Huang:
Story Ending Generation with Incremental Encoding and Commonsense Knowledge. 6473-6480Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang:
Long Short-Term Memory with Dynamic Skip Connections. 6481-6488Maosheng Guo, Yu Zhang, Ting Liu:
Gaussian Transformer: A Lightweight Approach for Natural Language Inference. 6489-6496Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti:
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models. 6497-6504Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
Document Informed Neural Autoregressive Topic Models with Distributional Prior. 6505-6512Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas A. Runkler:
Neural Relation Extraction within and across Sentence Boundaries. 6513-6520J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme:
PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation. 6521-6528Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li:
Read + Verify: Machine Reading Comprehension with Unanswerable Questions. 6529-6537Hengguan Huang, Hao Wang, Brian Mak:
Recurrent Poisson Process Unit for Speech Recognition. 6538-6545Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan:
Dictionary-Guided Editing Networks for Paraphrase Generation. 6546-6553Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan:
Unsupervised Controllable Text Formalization. 6554-6561Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert:
Word Embedding as Maximum A Posteriori Estimation. 6562-6569Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li:
Understanding Actors and Evaluating Personae with Gaussian Embeddings. 6570-6577Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky:
Predicting the Argumenthood of English Prepositional Phrases. 6578-6585Seonhoon Kim, Inho Kang, Nojun Kwak:
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information. 6586-6593Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee:
Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations. 6594-6601Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung:
Improving Neural Question Generation Using Answer Separation. 6602-6609Wei-Jen Ko, Greg Durrett, Junyi Jessy Li:
Domain Agnostic Real-Valued Specificity Prediction. 6610-6617Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang:
Neural Machine Translation with Adequacy-Oriented Learning. 6618-6625Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy:
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. 6626-6633Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao:
Lattice CNNs for Matching Based Chinese Question Answering. 6634-6641Sungjin Lee, Rahul Jha:
Zero-Shot Adaptive Transfer for Conversational Language Understanding. 6642-6649Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu:
A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification. 6650-6657Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller:
Dependency Grammar Induction with a Neural Variational Transition-Based Parser. 6658-6665Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. 6666-6673Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev:
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. 6674-6681Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Differentiated Distribution Recovery for Neural Text Generation. 6682-6689Junjie Li, Haoran Li, Chengqing Zong:
Towards Personalized Review Summarization via User-Aware Sequence Network. 6690-6697Juntao Li, Lisong Qiu, Bo Tang, Dongmin Chen, Dongyan Zhao, Rui Yan:
Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation. 6698-6705Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu:
Neural Speech Synthesis with Transformer Network. 6706-6713Xin Li, Lidong Bing, Piji Li, Wai Lam:
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. 6714-6721Ziming Li, Julia Kiseleva, Maarten de Rijke:
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. 6722-6729Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou:
Dependency or Span, End-to-End Uniform Semantic Role Labeling. 6730-6737Changsheng Liu, Rebecca Hwa:
A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility. 6738-6745Haoyan Liu, Lei Fang, Jian-Guang Lou, Zhoujun Li:
Leveraging Web Semantic Knowledge in Word Representation Learning. 6746-6753Jian Liu, Yubo Chen, Kang Liu:
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection. 6754-6761Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-Local Neural Networks for Sequence Learning. 6762-6769Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang:
FANDA: A Novel Approach to Perform Follow-Up Query Analysis. 6770-6777Tianlin Liu, Lyle Ungar, João Sedoc:
Unsupervised Post-Processing of Word Vectors via Conceptor Negation. 6778-6785Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui:
Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. 6786-6793Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun:
Learning Personalized End-to-End Goal-Oriented Dialog. 6794-6801Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu:
SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next. 6802-6809Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun:
LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts. 6810-6817Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria:
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. 6818-6825Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Hierarchical Text Classification. 6826-6833Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li:
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. 6834-6842Sebastian J. Mielke, Jason Eisner:
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model. 6843-6850Trung Minh Nguyen, Thien Huu Nguyen:
One for All: Neural Joint Modeling of Entities and Events. 6851-6858Yixin Nie, Haonan Chen, Mohit Bansal:
Combining Fact Extraction and Verification with Neural Semantic Matching Networks. 6859-6866Yixin Nie, Yicheng Wang, Mohit Bansal:
Analyzing Compositionality-Sensitivity of NLI Models. 6867-6874Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. 6875-6882Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim:
Paraphrase Diversification Using Counterfactual Debiasing. 6883-6891Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos:
Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities. 6892-6899Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Lio', Nigel Collier:
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces. 6900-6907Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-Text Generation with Content Selection and Planning. 6908-6915Marek Rei, Anders Søgaard:
Jointly Learning to Label Sentences and Tokens. 6916-6923Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell:
Zero-Shot Neural Transfer for Cross-Lingual Entity Linking. 6924-6931Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. 6932-6939Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov:
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. 6940-6948Victor Sanh, Thomas Wolf, Sebastian Ruder:
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks. 6949-6956Vasanth Sarathy, Matthias Scheutz:
On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse. 6957-6964Timo Schick, Hinrich Schütze:
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context. 6965-6973Claudia Schulz, Christian M. Meyer, Iryna Gurevych:
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning. 6974-6981Holger Schwenk, Douwe Kiela, Matthijs Douze:
Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs. 6982-6990Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
Learning to Embed Sentences Using Attentive Recursive Trees. 6991-6998Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. 6999-7006Zhouxing Shi, Minlie Huang:
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. 7007-7014Farhad Bin Siddique, Dario Bertero, Pascale Fung:
GlobalTrait: Personality Alignment of Multilingual Word Embeddings. 7015-7022Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment. 7023-7030Behrouz Haji Soleimani, Stan Matwin:
Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns. 7031-7038Changzhi Sun, Yuanbin Wu:
Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations. 7039-7046Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong:
Towards Sentence-Level Brain Decoding with Distributed Representations. 7047-7054Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang:
A Grammar-Based Structural CNN Decoder for Code Generation. 7055-7062Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal:
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. 7063-7071Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang:
A Hierarchical Framework for Relation Extraction with Reinforcement Learning. 7072-7079Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao:
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints. 7080-7087Min Tang, Jiaran Cai, Hankz Hankui Zhuo:
Multi-Matching Network for Multiple Choice Reading Comprehension. 7088-7095Yasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura:
Generating Live Soccer-Match Commentary from Play Data. 7096-7103Julien Tissier, Christophe Gravier, Amaury Habrard:
Near-Lossless Binarization of Word Embeddings. 7104-7111Maksim Tkachenko, Hady W. Lauw:
CompareLDA: A Topic Model for Document Comparison. 7112-7119Takuma Udagawa, Akiko Aizawa:
A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context. 7120-7127Chengyu Wang, Xiaofeng He, Aoying Zhou:
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning. 7128-7135Haohan Wang, Da Sun, Eric P. Xing:
What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks. 7136-7143Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen:
Template-Based Math Word Problem Solvers with Recursive Neural Networks. 7144-7151PeiFeng Wang, Jialong Han, Chenliang Li, Rong Pan:
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. 7152-7159Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan:
Chinese NER with Height-Limited Constituent Parsing. 7160-7167Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang:
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation. 7168-7175Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge:
A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation. 7176-7183Tianming Wang, Xiaojun Wan:
Hierarchical Attention Networks for Sentence Ordering. 7184-7191Wenya Wang, Sinno Jialin Pan:
Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction. 7192-7199Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si:
Unsupervised Learning Helps Supervised Neural Word Segmentation. 7200-7207Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. 7208-7215Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency:
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors. 7216-7223Yu Wang, Hongxia Jin:
A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System. 7224-7232Zhao Wang, Aron Culotta:
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation. 7233-7240Zhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu:
Better Fine-Tuning via Instance Weighting for Text Classification. 7241-7248Penghui Wei, Wenji Mao, Guandan Chen:
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection. 7249-7256Xiangpeng Wei, Yue Hu, Luxi Xing, Yipeng Wang, Li Gao:
Translating with Bilingual Topic Knowledge for Neural Machine Translation. 7257-7264Robert West, Eric Horvitz:
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances". 7265-7272Shanchan Wu, Kai Fan, Qiong Zhang:
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector. 7273-7280Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou:
Response Generation by Context-Aware Prototype Editing. 7281-7288Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang:
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. 7289-7296Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi:
Graph Based Translation Memory for Neural Machine Translation. 7297-7304Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si:
Syntax-Aware Neural Semantic Role Labeling. 7305-7313Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding:
Adaptive Region Embedding for Text Classification. 7314-7321Yijun Xiao, William Yang Wang:
Quantifying Uncertainties in Natural Language Processing Tasks. 7322-7329Zhipeng Xie, Feiteng Mu:
Distributed Representation of Words in Cause and Effect Spaces. 7330-7337Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang:
Modeling Coherence for Discourse Neural Machine Translation. 7338-7345Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin:
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. 7346-7353Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen:
A Deep Cascade Model for Multi-Document Reading Comprehension. 7354-7361Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen:
Exploring Human-Like Reading Strategy for Abstractive Text Summarization. 7362-7369Liang Yao, Chengsheng Mao, Yuan Luo:
Graph Convolutional Networks for Text Classification. 7370-7377Lili Yao, Nanyun Peng, Ralph M. Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan:
Plan-and-Write: Towards Better Automatic Storytelling. 7378-7385Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. 7386-7393Michihiro Yasunaga, John D. Lafferty:
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts. 7394-7401Kang Min Yoo, Youhyun Shin, Sang-goo Lee:
Data Augmentation for Spoken Language Understanding via Joint Variational Generation. 7402-7409Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. 7410-7417Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei:
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding. 7418-7425JianHua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin:
Exploring Answer Stance Detection with Recurrent Conditional Attention. 7426-7433Yunzhe Yuan, Yong Jiang, Kewei Tu:
Bidirectional Transition-Based Dependency Parsing. 7434-7441Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie:
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. 7442-7449Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song:
A Generalized Language Model in Tensor Space. 7450-7458Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao:
Generating Chinese Ci with Designated Metrical Structure. 7459-7467Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu:
A Neural Network Approach to Verb Phrase Ellipsis Resolution. 7468-7475Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren:
Generating Character Descriptions for Automatic Summarization of Fiction. 7476-7483Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao:
Multi-Labeled Relation Extraction with Attentive Capsule Network. 7484-7491Peixiang Zhong, Di Wang, Chunyan Miao:
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss. 7492-7500
AAAI Technical Track: Planning, Routing, and Scheduling
Mohammad Abdulaziz:
Plan-Length Bounds: Beyond 1-Way Dependency. 7502-7510Benjamin J. Ayton, Brian Williams, Richard Camilli:
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions. 7511-7519Gregor Behnke, Daniel Höller, Susanne Biundo:
Bringing Order to Chaos - A Compact Representation of Partial Order in SAT-Based HTN Planning. 7520-7529Thiago P. Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner:
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. 7530-7537Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi:
Robustness Envelopes for Temporal Plans. 7538-7545Lukás Chrpa, Mauro Vallati:
Improving Domain-Independent Planning via Critical Section Macro-Operators. 7546-7553Amanda Jane Coles, Andrew Coles, J. Christopher Beck:
Efficient Temporal Planning Using Metastates. 7554-7561Amanda Jane Coles, Andrew Coles, Moisés Martínez, Emre Savas, Juan Manuel Delfa, Tomás de la Rosa, Yolanda E.-Martín, Angel García Olaya:
Efficiently Reasoning with Interval Constraints in Forward Search Planning. 7562-7569Bingqian Du, Chuan Wu, Zhiyi Huang:
Learning Resource Allocation and Pricing for Cloud Profit Maximization. 7570-7577Rebecca Eifler, Maximilian Fickert, Jörg Hoffmann, Wheeler Ruml:
Refining Abstraction Heuristics during Real-Time Planning. 7578-7585Daniel Fiser, Álvaro Torralba, Alexander Shleyfman:
Operator Mutexes and Symmetries for Simplifying Planning Tasks. 7586-7593Daniel Furelos-Blanco, Anders Jonsson:
Solving Multiagent Planning Problems with Concurrent Conditional Effects. 7594-7601Daniel Gnad, Álvaro Torralba, Martín Ariel Domínguez, Carlos Areces, Facundo Bustos:
Learning How to Ground a Plan - Partial Grounding in Classical Planning. 7602-7609León Illanes, Sheila A. McIlraith:
Generalized Planning via Abstraction: Arbitrary Numbers of Objects. 7610-7618Michael Katz:
Red-Black Heuristics for Planning Tasks with Conditional Effects. 7619-7626Jiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma, T. K. Satish Kumar, Sven Koenig:
Multi-Agent Path Finding for Large Agents. 7627-7634Felix Lindner, Robert Mattmüller, Bernhard Nebel:
Moral Permissibility of Action Plans. 7635-7642Hang Ma, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, Sven Koenig:
Searching with Consistent Prioritization for Multi-Agent Path Finding. 7643-7650Hang Ma, Wolfgang Hönig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig:
Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery. 7651-7658Sultan Javed Majeed, Marcus Hutter:
Performance Guarantees for Homomorphisms beyond Markov Decision Processes. 7659-7666George B. Mertzios, Hendrik Molter, Viktor Zamaraev:
Sliding Window Temporal Graph Coloring. 7667-7674Andrea Micheli, Enrico Scala:
Temporal Planning with Temporal Metric Trajectory Constraints. 7675-7682Ronen Nir, Erez Karpas:
Automated Verification of Social Laws for Continuous Time Multi-Robot Systems. 7683-7690Sunandita Patra, Malik Ghallab, Dana S. Nau, Paolo Traverso:
Acting and Planning Using Operational Models. 7691-7698Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
Distribution-Based Semi-Supervised Learning for Activity Recognition. 7699-7706Riccardo Rasconi, Angelo Oddi:
An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem. 7707-7714Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber:
Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection. 7715-7723Helge Spieker, Arnaud Gotlieb, Morten Mossige:
Rotational Diversity in Multi-Cycle Assignment Problems. 7724-7731Jirí Svancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták:
Online Multi-Agent Pathfinding. 7732-7739
AAAI Technical Track: Reasoning under Uncertainty
Nadjet Bourdache, Patrice Perny:
Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem. 7741-7748Daniel S. Brown, Scott Niekum:
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications. 7749-7758Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane:
Robustness Guarantees for Bayesian Inference with Gaussian Processes. 7759-7768Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Probabilistic Logic Programming with Beta-Distributed Random Variables. 7769-7776Sourav Chakraborty, Kuldeep S. Meel:
On Testing of Uniform Samplers. 7777-7784Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi:
On the Hardness of Probabilistic Inference Relaxations. 7785-7792Cong Chen, Changhe Yuan:
Learning Diverse Bayesian Networks. 7793-7800Silvia Chiappa:
Path-Specific Counterfactual Fairness. 7801-7808Liat Cohen, Gera Weiss:
Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines. 7809-7815Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan:
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. 7816-7824Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt:
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation. 7825-7833Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi:
Marginal Inference in Continuous Markov Random Fields Using Mixtures. 7834-7841Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati:
A Generative Model for Dynamic Networks with Applications. 7842-7849Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How:
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. 7850-7857Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas L. Allaire, Ulisses Braga-Neto:
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. 7858-7865Brendan Juba:
Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics. 7866-7875Yasushi Kawase, Hanna Sumita:
Randomized Strategies for Robust Combinatorial Optimization. 7876-7883Ximing Li, Jiaojiao Zhang, Jihong Ouyang:
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. 7884-7891Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek:
Finding All Bayesian Network Structures within a Factor of Optimal. 7892-7899Qi Lou, Rina Dechter, Alexander T. Ihler:
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms. 7900-7907Ke Ma, Qianqian Xu, Xiaochun Cao:
Robust Ordinal Embedding from Contaminated Relative Comparisons. 7908-7915Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal:
On Lifted Inference Using Neural Embeddings. 7916-7923Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander T. Ihler:
Anytime Recursive Best-First Search for Bounding Marginal MAP. 7924-7932Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Semi-Parametric Sampling for Stochastic Bandits with Many Arms. 7933-7940Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien:
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling. 7941-7948Silviu Pitis:
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach. 7949-7956Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi:
Structured Bayesian Networks: From Inference to Learning with Routes. 7957-7965Andy Shih, Arthur Choi, Adnan Darwiche:
Compiling Bayesian Network Classifiers into Decision Graphs. 7966-7974Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor:
Lifted Hinge-Loss Markov Random Fields. 7975-7983Topi Talvitie, Mikko Koivisto:
Counting and Sampling Markov Equivalent Directed Acyclic Graphs. 7984-7991Hong Xie, Yongkun Li, John C. S. Lui:
Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning. 7992-7999
AAAI Technical Track: Robotics
Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. 8001-8008Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni:
MotionTransformer: Transferring Neural Inertial Tracking between Domains. 8009-8016Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience. 8017-8024Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu:
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions. 8025-8033Kai Liu, Hua Wang, Fei Han, Hao Zhang:
Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration. 8034-8041Robert Platt Jr., Colin Kohler, Marcus Gualtieri:
Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies. 8042-8049Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati:
Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP). 8050-8057Zhi-Xuan Tan, Jake Brawer, Brian Scassellati:
That's Mine! Learning Ownership Relations and Norms for Robots. 8058-8065Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster:
Probabilistic Model Checking of Robots Deployed in Extreme Environments. 8066-8074
AAAI Technical Track: Vision
Manoj Acharya, Kushal Kafle, Christopher Kanan:
TallyQA: Answering Complex Counting Questions. 8076-8084Umar Asif, Jianbin Tang, Stefan Harrer:
Densely Supervised Grasp Detector (DSGD). 8085-8093Seung-Hwan Bae:
Object Detection Based on Region Decomposition and Assembly. 8094-8101Hedi Ben-younes, Rémi Cadène, Nicolas Thome, Matthieu Cord:
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. 8102-8109Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen:
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection. 8110-8117Yijun Cai, Haoxin Li, Jianfang Hu, Wei-Shi Zheng:
Action Knowledge Transfer for Action Prediction with Partial Videos. 8118-8125Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng:
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. 8126-8133Binghui Chen, Weihong Deng:
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering. 8134-8141Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Qi Ju:
Improving Image Captioning with Conditional Generative Adversarial Nets. 8142-8150Cheng-Kuan Chen, Zhu Feng Pan, Ming-Yu Liu, Min Sun:
Unsupervised Stylish Image Description Generation via Domain Layer Norm. 8151-8158Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu:
Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects. 8159-8166Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei:
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning. 8167-8174Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo:
Localizing Natural Language in Videos. 8175-8182Junjie Chen, William K. Cheung:
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval. 8183-8190Shaoxiang Chen, Yu-Gang Jiang:
Motion Guided Spatial Attention for Video Captioning. 8191-8198Shaoxiang Chen, Yu-Gang Jiang:
Semantic Proposal for Activity Localization in Videos via Sentence Query. 8199-8206Shizhe Chen, Qin Jin, Alexander G. Hauptmann:
Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data. 8207-8214Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang:
Learning Resolution-Invariant Deep Representations for Person Re-Identification. 8215-8222Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Data Fine-Tuning. 8223-8230Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
Selective Refinement Network for High Performance Face Detection. 8231-8238Zhongying Deng, Xiaojiang Peng, Yu Qiao:
Residual Compensation Networks for Heterogeneous Face Recognition. 8239-8246Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan:
Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition. 8247-8254Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang:
Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System. 8255-8262Hehe Fan, Linchao Zhu, Yi Yang:
Cubic LSTMs for Video Prediction. 8263-8270Kuncheng Fang, Lian Zhou, Cheng Jin, Yuejie Zhang, Kangnian Weng, Tao Zhang, Weiguo Fan:
Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention. 8271-8278Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao:
MeshNet: Mesh Neural Network for 3D Shape Representation. 8279-8286Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang:
STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification. 8287-8294Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang:
Horizontal Pyramid Matching for Person Re-Identification. 8295-8302Junyu Gao, Tianzhu Zhang, Changsheng Xu:
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs. 8303-8311Lianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang, Heng Tao Shen:
Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis. 8312-8319Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen:
Deliberate Attention Networks for Image Captioning. 8320-8327Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua:
Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos. 8328-8335Jie Gu, Gaofeng Meng, Cheng Da, Shiming Xiang, Chunhong Pan:
No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking. 8336-8343Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann:
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. 8344-8351Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang:
Human Action Transfer Based on 3D Model Reconstruction. 8352-8359Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai:
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. 8360-8367Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. 8368-8375Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker:
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. 8376-8384Yi Hao, Nannan Wang, Jie Li, Xinbo Gao:
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification. 8385-8392Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen:
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos. 8393-8400Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen:
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition. 8401-8408Tong He, Stefano Soatto:
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. 8409-8416Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu:
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks. 8417-8424Saihui Hou, Zilei Wang:
Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network. 8425-8432Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy:
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks. 8433-8440Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek:
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation. 8441-8448Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem:
A Novel Framework for Robustness Analysis of Visual QA Models. 8449-8456Jianglei Huang, Wengang Zhou:
Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking. 8457-8464Qiuyuan Huang, Zhe Gan, Asli Çelikyilmaz, Dapeng Oliver Wu, Jianfeng Wang, Xiaodong He:
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation. 8465-8472Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang:
A Framework to Coordinate Segmentation and Recognition. 8473-8480Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu:
3D Volumetric Modeling with Introspective Neural Networks. 8481-8488Yan Huang, Yang Long, Liang Wang:
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding. 8489-8496Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han:
Attentive Temporal Pyramid Network for Dynamic Scene Classification. 8497-8504Zhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao:
DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval. 8505-8512Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao:
MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval. 8513-8520Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang:
Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method. 8521-8528Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan:
Video Object Detection with Locally-Weighted Deformable Neighbors. 8529-8536Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon:
Discriminative Feature Learning for Unsupervised Video Summarization. 8537-8544Dahun Kim, Donghyeon Cho, In So Kweon:
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. 8545-8552Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu:
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. 8553-8560Bin Li, Xi Li, Zhongfei Zhang, Fei Wu:
Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition. 8561-8568Bo Li, Zhengxing Sun, Yuqi Guo:
SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection. 8569-8576Buyu Li, Yu Liu, Xiaogang Wang:
Gradient Harmonized Single-Stage Detector. 8577-8584Chenyang Li, Xin Zhang, Lufan Liao, Lianwen Jin, Weixin Yang:
Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module. 8585-8593Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin:
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition. 8594-8601Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot:
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding. 8602-8609Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang:
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. 8610-8617Jianing Li, Shiliang Zhang, Tiejun Huang:
Multi-Scale 3D Convolution Network for Video Based Person Re-Identification. 8618-8625Nannan Li, Zhenzhong Chen, Shan Liu:
Meta Learning for Image Captioning. 8626-8633Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang:
Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition. 8634-8641Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo:
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. 8642-8649Xiangyang Li, Shuqiang Jiang, Jungong Han:
Learning Object Context for Dense Captioning. 8650-8657Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan:
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering. 8658-8665Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu:
Robust Estimation of Similarity Transformation for Visual Object Tracking. 8666-8673Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu:
Temporal Bilinear Networks for Video Action Recognition. 8674-8681Zhaoqun Li, Cheng Xu, Biao Leng:
Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval. 8682-8689Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil Kanhere, Huaxiang Zhang:
Zero-Shot Object Detection with Textual Descriptions. 8690-8697Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou:
PCGAN: Partition-Controlled Human Image Generation. 8698-8705Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song:
Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize. 8706-8713Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai:
Scene Text Recognition from Two-Dimensional Perspective. 8714-8721Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu:
Towards Optimal Discrete Online Hashing with Balanced Similarity. 8722-8729Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang:
Hypergraph Optimization for Multi-Structural Geometric Model Fitting. 8730-8737Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang:
A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification. 8738-8745Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji:
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network. 8746-8753Ji Liu, Lei Zhang:
Optimal Projection Guided Transfer Hashing for Image Retrieval. 8754-8761Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu:
Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos. 8762-8769Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
DDFlow: Learning Optical Flow with Unlabeled Data Distillation. 8770-8777Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. 8778-8785Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li:
Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification. 8786-8793Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, Yung-Yu Chuang:
Deep Video Frame Interpolation Using Cyclic Frame Generation. 8794-8802Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng:
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking. 8803-8810Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu:
Recognizing Unseen Attribute-Object Pair with Generative Model. 8811-8818Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu:
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. 8819-8826Guozhu Peng, Shangfei Wang:
Dual Semi-Supervised Learning for Facial Action Unit Recognition. 8827-8834Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang:
Learning Attribute-Specific Representations for Visual Tracking. 8835-8842Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas S. Huang:
Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning. 8843-8850Zengyi Qin, Jinglu Wang, Yan Lu:
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization. 8851-8858Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi:
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification. 8859-8867Deepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu:
Almost Unsupervised Learning for Dense Crowd Counting. 8868-8875Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar:
KVQA: Knowledge-Aware Visual Question Answering. 8876-8884Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen:
Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding. 8885-8892Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Feiyue Huang, Yu Chen:
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos. 8893-8900Mehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu:
A Layer-Based Sequential Framework for Scene Generation with GANs. 8901-8908Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang:
Hierarchical Photo-Scene Encoder for Album Storytelling. 8909-8916Chong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie:
Robust Deep Co-Saliency Detection with Group Semantic. 8917-8924Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng:
Learning Basis Representation to Refine 3D Human Pose Estimations. 8925-8932Guangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie:
Spatial-Temporal Person Re-Identification. 8933-8940Hanqing Wang, Jiaolong Yang, Wei Liang, Xin Tong:
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding. 8941-8948Jinglu Wang, Bo Sun, Yan Lu:
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image. 8949-8956Weixuan Wang, Zhihong Chen, Haifeng Hu:
Hierarchical Attention Network for Image Captioning. 8957-8964Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang:
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning. 8965-8972Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su:
Sparse Adversarial Perturbations for Videos. 8973-8980Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu:
Learning Non-Uniform Hypergraph for Multi-Object Tracking. 8981-8988Yu-Hui Wen, Lin Gao, Hongbo Fu, Fang-Lue Zhang, Shihong Xia:
Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition. 8989-8996Chenfei Wu, Jinlai Liu, Xiaojie Wang, Ruifan Li:
Differential Networks for Visual Question Answering. 8997-9004Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun:
Disentangled Variational Representation for Heterogeneous Face Recognition. 9005-9012Xuanlu Xiang, Zhipeng Wang, Zhicheng Zhao, Fei Su:
Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature. 9013-9020Xinyu Xiao, Lingfeng Wang, Shiming Xiang, Chunhong Pan:
What and Where the Themes Dominate in Image. 9021-9029De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao:
Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification. 9030-9037Enze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li:
Scene Text Detection with Supervised Pyramid Context Network. 9038-9045Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie:
DeRPN: Taking a Further Step toward More General Object Detection. 9046-9053Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li:
Residual Attribute Attention Network for Face Image Super-Resolution. 9054-9061Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko:
Multilevel Language and Vision Integration for Text-to-Clip Retrieval. 9062-9069Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu:
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection. 9070-9078Shipeng Yan, Songyang Zhang, Xuming He:
A Dual Attention Network with Semantic Embedding for Few-Shot Learning. 9079-9086Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin'ichi Satoh:
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing. 9087-9094Lingxiao Yang, David Zhang, Lei Zhang:
Learning a Visual Tracker from a Single Movie without Annotation. 9095-9102Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun:
Safeguarded Dynamic Label Regression for Noisy Supervision. 9103-9110Weidong Yin, Ziwei Liu, Chen Change Loy:
Instance-Level Facial Attributes Transfer with Geometry-Aware Flow. 9111-9118Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao:
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition. 9119-9126Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao:
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering. 9127-9134Jinyang Yuan, Bin Li, Xiangyang Xue:
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping. 9135-9142Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng:
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization. 9143-9150Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. 9151-9158Yitian Yuan, Tao Mei, Wenwu Zhu:
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression. 9159-9166Yuan Yuan, Dong Wang, Qi Wang:
Memory-Augmented Temporal Dynamic Learning for Action Recognition. 9167-9175Yuan Yuan, Zhitong Xiong, Qi Wang:
ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition. 9176-9184Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny:
Large-Scale Visual Relationship Understanding. 9185-9194Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang:
Multi-Attribute Transfer via Disentangled Representation. 9195-9202Kaihao Zhang, Wenhan Luo, Lin Ma, Hongdong Li:
Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse. 9203-9210Xiaobing Zhang, Haigang Gong, Xili Dai, Fan Yang, Nianbo Liu, Ming Liu:
Understanding Pictograph with Facial Features: End-to-End Sentence-Level Lip Reading of Chinese. 9211-9218Xiaopeng Zhang, Yang Yang, Jiashi Feng:
Learning to Localize Objects with Noisy Labeled Instances. 9219-9226Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan:
Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision. 9227-9234Yaqing Zhang, Xi Li, Zhongfei Zhang:
Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification. 9235-9242Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu:
Learning Incremental Triplet Margin for Person Re-Identification. 9243-9250Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. 9251-9258Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling:
M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network. 9259-9266Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang:
3D Object Detection Using Scale Invariant and Feature Reweighting Networks. 9267-9274Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan:
Recurrent Attention Model for Pedestrian Attribute Recognition. 9275-9282Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan:
Learning Fully Dense Neural Networks for Image Semantic Segmentation. 9283-9290Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang:
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer. 9291-9298Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang:
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. 9299-9306Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess:
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance. 9307-9315Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun:
Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning. 9316-9323Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen:
Dynamic Capsule Attention for Visual Question Answering. 9324-9331Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim:
Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective. 9332-9339Yun-Zhi Zhuge, Yu Zeng, Huchuan Lu:
Deep Embedding Features for Salient Object Detection. 9340-9347Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann:
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. 9348-9355
IAAI Technical Papers: Deployed Papers
Joshua Eckroth, Eric Schoen:
A Genetic Algorithm for Finding a Small and Diverse Set of Recent News Stories on a Given Subject: How We Generate AAAI's AI-Alert. 9357-9364Christopher Lesner, Alexander Ran, Marko Rukonic, Wei Wang:
Large Scale Personalized Categorization of Financial Transactions. 9365-9372Marc Maier, Hayley Carlotto, Freddie Sanchez, Sherriff Balogun, Sears Merritt:
Transforming Underwriting in the Life Insurance Industry. 9373-9380Atri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara:
Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AI. 9381-9388Rohit Takhar, Varun Aggarwal:
Grading Uncompilable Programs. 9389-9396
IAAI Technical Papers: Emerging Papers
Aaron Adler, Peter Samouelian, Michael Atighetchi, Yat Fu:
Remote Management of Boundary Protection Devices with Information Restrictions. 9398-9403José Luis Ambite, Jonathan Gordon, Lily Fierro, Gully Burns, Joel Mathew:
Linking Educational Resources on Data Science. 9404-9409Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano, Tetsuya Shoji:
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling. 9410-9415Sebastian Blank, Florian Wilhelm, Hans-Peter Zorn, Achim Rettinger:
Querying NoSQL with Deep Learning to Answer Natural Language Questions. 9416-9421Joseph Bockhorst, Devin Conathan, Glenn M. Fung:
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces. 9422-9427Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Anomaly Detection Using Autoencoders in High Performance Computing Systems. 9428-9433Anna Paola Carrieri, Will P. M. Rowe, Martyn D. Winn, Edward O. Pyzer-Knapp:
A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes. 9434-9439Srija Chakraborty, Subhasish Das, Ayan Banerjee, Sandeep K. S. Gupta, Philip R. Christensen:
Expert Guided Rule Based Prioritization of Scientifically Relevant Images for Downlinking over Limited Bandwidth from Planetary Orbiters. 9440-9445Amir Elmishali, Roni Stern, Meir Kalech:
DeBGUer: A Tool for Bug Prediction and Diagnosis. 9446-9451Natalie Fridman, Doron Amir, Yinon Douchan, Noa Agmon:
Satellite Detection of Moving Vessels in Marine Environments. 9452-9459Yu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li, Lu Duan:
Automatic Generation of Chinese Short Product Titles for Mobile Display. 9460-9465Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park:
Logistic Regression on Homomorphic Encrypted Data at Scale. 9466-9471Ramin M. Hasani, Guodong Wang, Radu Grosu:
A Machine Learning Suite for Machine Components' Health-Monitoring. 9472-9477Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru:
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols. 9478-9483Hannah R. Kerner, Danika F. Wellington, Kiri L. Wagstaff, James F. Bell, Chiman Kwan, Heni Ben Amor:
Novelty Detection for Multispectral Images with Application to Planetary Exploration. 9484-9491Saiprasad Koturwar, Soma Shiraishi, Kota Iwamoto:
Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale Automation. 9492-9497Abhinav Kumar, Aishwarya Gupta, Bishal Santra, K. S. Lalitha, Manasa Kolla, Mayank Gupta, Rishabh Singh:
VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System. 9498-9503Ugur Kuter, Brian Kettler, Katherine Guo, Martin O. Hofmann, Valerie Champagne, Kurt Lachevet, Jennifer Lautenschlager, Robert P. Goldman, Luis Asencios, Josh Hamell:
Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling. 9504-9509Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel Shu Wei Ting, Tien Yin Wong, Mong-Li Lee, Wynne Hsu:
Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study. 9510-9515Zhan Wei Lim, Mong-Li Lee, Wynne Hsu, Tien Yin Wong:
Building Trust in Deep Learning System towards Automated Disease Detection. 9516-9521Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin K. L. Wong:
Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age. 9522-9527Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor:
Bootstrapping Conversational Agents with Weak Supervision. 9528-9533Stéphane Martin, Boi Faltings, Vincent Schickel:
Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation. 9534-9540Nicholas McCarthy, Mohammad Karzand, Freddy Lécué:
Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines. 9541-9546Shekoofeh Mokhtari, Ahmad Mahmoody, Dragomir Yankov, Ning Xie:
Tagging Address Queries in Maps Search. 9547-9551Srikanth Mujjiga, Vamsi Krishna, Kalyan Chakravarthi, Vijayananda J:
Identifying Semantics in Clinical Reports Using Neural Machine Translation. 9552-9557Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley:
Artificial Counselor System for Stock Investment. 9558-9564Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky:
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications. 9565-9572Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora:
Discovering Temporal Patterns from Insurance Interaction Data. 9573-9580Xin Qiu, Risto Miikkulainen:
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. 9581-9588Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan:
Inferring Concept Prerequisite Relations from Online Educational Resources. 9589-9594Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth:
Forecasting Intra-Hour Imbalances in Electric Power Systems. 9595-9600Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles:
Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. 9601-9606Lijing Wang, Jiangzhuo Chen, Madhav Marathe:
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information. 9607-9612Ming-Che Wu, Mei-Chen Yeh:
Early Detection of Vacant Parking Spaces Using Dashcam Videos. 9613-9618Haoran Zhang, Ahmed Magooda, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana:
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing. 9619-9625
EAAI Symposium Papers: Technical Papers
Shuto Araki, Juan Pablo Arenas Uribe, Zach Wilkerson, Steven Bogaerts, Chad Byers:
Determining Solvability in the Birds of a Feather Card Game. 9627-9634Trevor Bihl, Todd Jenkins, Chadwick Cox, Ashley DeMange, Kerry Hill, Edmund Zelnio:
From Lab to Internship and Back Again: Learning Autonomous Systems through Creating a Research and Development Ecosystem. 9635-9643Eric Eaton:
A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management. 9644-9647Richard Hoshino, Max Notarangelo:
Computational Intractability and Solvability for the Birds of a Feather Game. 9648-9655Bryon Kucharski, Azad Deihim, Mehmet Ergezer:
Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game. 9656-9661Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Get IT Scored Using AutoSAS - An Automated System for Scoring Short Answers. 9662-9669Pat Langley:
An Integrative Framework for Artificial Intelligence Education. 9670-9677Weiming Lu, Yangfan Zhou, Jiale Yu, Chenhao Jia:
Concept Extraction and Prerequisite Relation Learning from Educational Data. 9678-9685Todd W. Neller, Connor Berson, Jivan Kharel, Ryan Smolik:
Efficient Solving of Birds of a Feather Puzzles. 9686-9692Todd W. Neller, Daniel Ziegler:
Computer Generation of Birds of a Feather Puzzles. 9693-9699Christian Roberson, Katarina Sperduto:
A Monte Carlo Tree Search Player for Birds of a Feather Solitaire. 9700-9705Benjamin Sang, Sejong Yoon:
A Neural Network Approach for Birds of a Feather Solvability Prediction. 9706-9712Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar, Prasenjit Dey, Mohit Jain:
Automatic Generation of Leveled Visual Assessments for Young Learners. 9713-9720Abhijit Suresh, Tamara Sumner, Jennifer Jacobs, Bill Foland, Wayne Ward:
Automating Analysis and Feedback to Improve Mathematics Teachers' Classroom Discourse. 9721-9728Randi Williams, Hae Won Park, Lauren Oh, Cynthia Breazeal:
PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education. 9729-9736Yuanlin Zhang, Jianlan Wang, Fox Bolduc, William G. Murray, Wendy Staffen:
A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming. 9737-9744
EAAI Symposium Papers: Poster Papers
Andrea Danyluk, Scott Buck:
Artificial Intelligence Competencies for Data Science Undergraduate Curricula. 9746-9747Richard Hoshino, Maximilian Kahn:
Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game. 9748-9749
EAAI Symposium Papers: Model AI Assignments
Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist:
Model AI Assignments 2019. 9751-9753
Senior Member Presentation Track Papers: Blue Sky Papers
Vincent Conitzer:
Designing Preferences, Beliefs, and Identities for Artificial Intelligence. 9755-9759Ian Davidson, Peter B. Walker:
Towards Fluid Machine Intelligence: Can We Make a Gifted AI? 9760-9764Eugene C. Freuder:
Relating the Structure of a Problem and Its Explanation. 9765-9769David Harel, Assaf Marron, Ariel Rosenfeld, Moshe Y. Vardi, Gera Weiss:
Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea). 9770-9774Pat Langley:
Explainable, Normative, and Justified Agency. 9775-9779Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini:
Meaningful Explanations of Black Box AI Decision Systems. 9780-9784Francesca Rossi, Nicholas Mattei:
Building Ethically Bounded AI. 9785-9789Barry Smyth:
Recommender Systems: A Healthy Obsession. 9790-9794David S. Touretzky, Christina Gardner-McCune, Fred Martin, Deborah W. Seehorn:
Envisioning AI for K-12: What Should Every Child Know about AI? 9795-9799
Senior Member Presentation Track Papers: Summary Talks
Terrance E. Boult, Steve Cruz, Akshay Raj Dhamija, Manuel Günther, James Henrydoss, Walter J. Scheirer:
Learning and the Unknown: Surveying Steps toward Open World Recognition. 9801-9807Peter Flach:
Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward. 9808-9814Hui Lin, Vincent Ng:
Abstractive Summarization: A Survey of the State of the Art. 9815-9822Héctor Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder:
Is Everything Going According to Plan? Expectations in Goal Reasoning Agents. 9823-9829Jörg Rothe:
Borda Count in Collective Decision Making: A Summary of Recent Results. 9830-9836Victor S. Sheng, Jing Zhang:
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions. 9837-9843
Demonstration Track Abstracts
David Allen, Rahul R. Divekar, Jaimie Drozdal, Lilit Balagyozyan, Shuyue Zheng, Ziyi Song, Huang Zou, Jeramey Tyler, Xiangyang Mou, Rui Zhao, Helen Zhou, Jianling Yue, Jeffrey O. Kephart, Hui Su:
The Rensselaer Mandarin Project - A Cognitive and Immersive Language Learning Environment. 9845-9846Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov:
Proppy: A System to Unmask Propaganda in Online News. 9847-9848Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis A. Lastras:
MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents. 9849-9850Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James R. Glass:
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks. 9851-9852Chi-Han Du, Yi-Shyuan Chiang, Kun-Che Tsai, Liang-Chih Liu, Ming-Feng Tsai, Chuan-Ju Wang:
FRIDAYS: A Financial Risk Information Detecting and Analyzing System. 9853-9854Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang:
Academic Reader: An Interactive Question Answering System on Academic Literatures. 9855-9856Zhuoxuan Jiang, Jie Ma, Jingyi Lu, GuangYuan Yu, Yipeng Yu, Shaochun Li:
A General Planning-Based Framework for Goal-Driven Conversation Assistant. 9857-9858Yuta Kobayashi, Hiroyuki Shindo, Yuji Matsumoto:
Scientific Article Search System Based on Discourse Facet Representation. 9859-9860Gyeongbok Lee, Sungdong Kim, Seung-won Hwang:
QADiver: Interactive Framework for Diagnosing QA Models. 9861-9862Daniel Leidner, Peter Schmaus, Florian Schmidt, Benedikt Pleintinger, Ralph Bayer, Adrian S. Bauer, Thomas Krüger, Neal Y. Lii:
Global Remote Operation of Intelligent Space Robot Assistants. 9863-9864Simone Mellace, Jérôme Guzzi, Alessandro Giusti, Luca Maria Gambardella:
Realtime Generation of Audible Textures Inspired by a Video Stream. 9865-9866Mirko Nava, Jérôme Guzzi, R. Omar Chavez-Garcia, Luca Maria Gambardella, Alessandro Giusti:
Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors. 9867-9868Sadegh Nobari:
DBA: Dynamic Multi-Armed Bandit Algorithm. 9869-9870Daniel Rotman, Dror Porat, Yevgeny Burshtein, Udi Barzelay:
Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search. 9871-9872Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang:
K3S: Knowledge-Driven Solution Support System. 9873-9874
Doctoral Consortium Track Abstracts
David Abel:
A Theory of State Abstraction for Reinforcement Learning. 9876-9877Nikhil Bhargava:
Multi-Agent Coordination under Uncertain Communication. 9878-9879Christopher K. Fourie:
Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks. 9880-9881Rick Goldstein:
Expressive Real-Time Intersection Scheduling. 9882-9883Ana Valeria González-Garduño:
Reinforcement Learning for Improved Low Resource Dialogue Generation. 9884-9885Negar Hassanpour:
Counterfactual Reasoning in Observational Studies. 9886-9887Emmanuel Johnson:
Using Automated Agents to Teach Negotiation. 9888-9889Khimya Khetarpal:
Learning Generalized Temporal Abstractions across Both Action and Perception. 9890-9891Neeti Pokhriyal:
Multi-View Learning from Disparate Sources for Poverty Mapping. 9892-9893Sathya N. Ravi:
Numerical Optimization to AI, and Back. 9894-9895Sandhya Saisubramanian:
Adaptive Modeling for Risk-Aware Decision Making. 9896-9897Atena M. Tabakhi:
Parameterized Heuristics for Incomplete Weighted CSPs. 9898-9899Faraz Torabi:
Imitation Learning from Observation. 9900-9901Abhinav Verma:
Verifiable and Interpretable Reinforcement Learning through Program Synthesis. 9902-9903Christabel Wayllace:
Stochastic Goal Recognition Design. 9904-9905Ruohan Zhang:
Attention Guided Imitation Learning and Reinforcement Learning. 9906-9907
Student Abstracts
Prince M. Abudu:
CommNets: Communicating Neural Network Architectures for Resource Constrained Systems. 9909-9910Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini:
Identifying Android Malware Using Network-Based Approaches. 9911-9912Wenjun Bai, Changqin Quan, Zhi-Wei Luo:
Learning Flexible Latent Representations via Encapsulated Variational Encoders. 9913-9914Diana Benavides Prado:
An SVM-Based Framework for Long-Term Learning Systems. 9915-9916Theodora Bendlin, Hadi Hosseini:
Partners in Crime: Manipulating the Deferred Acceptance Algorithm through an Accomplice. 9917-9918Umang Bhatt, Pradeep Ravikumar, José M. F. Moura:
Building Human-Machine Trust via Interpretability. 9919-9920Arpita Biswas, Siddharth Barman:
Matroid Constrained Fair Allocation Problem. 9921-9922Narayan Changder, Samir Aknine, Animesh Dutta:
An Imperfect Algorithm for Coalition Structure Generation. 9923-9924Qiwei Chen, Cheng Wu, Yiming Wang:
Robust Principal Component Analysis-Based Infrared Small Target Detection. 9925-9926Sixuan Chen, Shuai Yu:
WAIS: Word Attention for Joint Intent Detection and Slot Filling. 9927-9928Yifeng Chen, Cheng Wu, Yiming Wang:
T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition. 9929-9930Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu:
Type Sequence Preserving Heterogeneous Information Network Embedding. 9931-9932Ameer Dharamshi, Rosie Yuyan Zou:
CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification. 9933-9934Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen:
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset. 9935-9936Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram:
A Meta-Learning Approach for Custom Model Training. 9937-9938Víctor Gallego, Roi Naveiro, David Ríos Insua:
Reinforcement Learning under Threats. 9939-9940Mononito Goswami, Shiven Mian, Jack Mostow:
What's Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System. 9941-9942Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui:
WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks. 9943-9944Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Higher-Order Multi-Layer Community Detection. 9945-9946Sein Jang, Young-Ho Park, Aziz Nasridinov:
AVS-Net: Automatic Visual Surveillance Using Relation Network. 9947-9948Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho:
Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System. 9949-9950Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages. 9951-9952Kherroubi Zine el Abidine, Samir Aknine, Bacha Rebiha:
A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles. 9953-9954Khimya Khetarpal, Doina Precup:
Learning Options with Interest Functions. 9955-9956Igor Kiselev:
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy. 9957-9958In-Seok Lee, Jun-Geol Baek:
SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart. 9959-9960Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe:
Comparing Sample-Wise Learnability across Deep Neural Network Models. 9961-9962Haoran Li, Hua Xu:
Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM. 9963-9964Lile Li, Quan Do, Wei Liu:
Cross-Domain Recommendation via Coupled Factorization Machines. 9965-9966Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi:
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process. 9967-9968Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han:
A Fuzzy Set Based Approach for Rating Bias. 9969-9970Yanran Li, Wenjie Li:
Meta-Path Augmented Response Generation. 9971-9972Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Teaching Machines to Extract Main Content for Machine Reading Comprehension. 9973-9974Zhijie Lin, Kaiyang Lin, Shiling Chen, Linlin Li, Zhou Zhao:
Location-Based End-to-End Speech Recognition with Multiple Language Models. 9975-9976Shengchao Liu, Yingyu Liang, Anthony Gitter:
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. 9977-9978Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang:
Deep Reinforcement Learning via Past-Success Directed Exploration. 9979-9980Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin:
Jointly Multiple Hash Learning. 9981-9982Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. 9983-9984Jianjie Lu, Kai-yu Tong:
Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach. 9985-9986Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel:
A Multi-Task Learning Framework for Abstractive Text Summarization. 9987-9988Yingjing Lu:
The Level Weighted Structural Similarity Loss: A Step Away from MSE. 9989-9990Anna Lukina:
Adaptive Optimization Framework for Control of Multi-Agent Systems. 9991-9992Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai:
Learning Document Embeddings with Crossword Prediction. 9993-9994Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon:
Logic-Based Sequential Decision-Making. 9995-9996Gaku Morio, Katsuhide Fujita:
On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components. 9997-9998Daniel Muller:
Frontier Search and Plan Reconstruction in Oversubscription Planning. 9999-10000Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin:
An Improved Hierarchical Datastructure for Nearest Neighbor Search. 10001-10002Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. 10003-10004So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park:
A Feasibility Test on Preventing PRMDs Based on Deep Learning. 10005-10006Rey Pocius, Lawrence Neal, Alan Fern:
Strategic Tasks for Explainable Reinforcement Learning. 10007-10008Jacob Rafati, David C. Noelle:
Learning Representations in Model-Free Hierarchical Reinforcement Learning. 10009-10010Jinfu Ren, Yang Liu, Jiming Liu:
EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning. 10011-10012Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus:
Emergency Department Online Patient-Caregiver Scheduling. 10013-10014Gaetano Rossiello, Alfio Gliozzo, Michael Glass:
Learning to Transfer Relational Representations through Analogy. 10015-10016Eitan Rothberg, Tingting Chen, Hao Ji:
Towards Better Accuracy and Robustness with Localized Adversarial Training. 10017-10018Pramit Saha, Sidney S. Fels:
Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG. 10019-10020Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh:
Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks. 10021-10022Khwaja Mohd. Salik, Swati Aggarwal, Yaman Kumar, Rajiv Ratn Shah, Rohit Jain, Roger Zimmermann:
Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading. 10023-10024Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua:
A Whole New Ball Game: Harvesting Game Data for Player Profiling. 10025-10026Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz:
Towards Task Understanding in Visual Settings. 10027-10028Eitan Sapiro-Gheiler:
Examining Political Trustworthiness through Text-Based Measures of Ideology. 10029-10030Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan:
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? 10031-10032Abhishek Singh, Debojyoti Dutta, Amit Saha:
MIGAN: Malware Image Synthesis Using GANs. 10033-10034Kacper Sokol, Peter A. Flach:
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals. 10035-10036Helge Spieker:
Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search. 10037-10038Shirly Stephen, Torsten Hahmann:
Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets. 10039-10040Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng:
An Adaptive Framework for Conversational Question Answering. 10041-10042Jiankai Sun, Srinivasan Parthasarathy:
Symmetrization for Embedding Directed Graphs. 10043-10044Atena M. Tabakhi:
Parameterized Heuristics for Incomplete Weighted CSPs. 10045-10046Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki, Satoshi Kurihara:
Semi-Supervised Learning for Electron Microscopy Image Segmentation. 10047-10048Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang:
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. 10049-10050Prayag Tiwari, Massimo Melucci:
Binary Classifier Inspired by Quantum Theory. 10051-10052Manan Tomar, Akhil Sathuluri, Balaraman Ravindran:
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. 10053-10054Ziye Tong, Junwei Zhou, Yanchao Yang, Lee-Ming Cheng:
Robust Facial Landmark Localization Based on Two-Stage Cascaded Pose Regression. 10055-10056Ashwini Tonge, Cornelia Caragea:
Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction. 10057-10058Ziyu Wan, Yan Li, Min Yang, Junge Zhang:
Transductive Zero-Shot Learning via Visual Center Adaptation. 10059-10060Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang:
Heterogeneous Attributed Network Embedding with Graph Convolutional Networks. 10061-10062Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van Beijnum, Peter H. Veltink:
Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter. 10063-10064Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan:
DSINE: Deep Structural Influence Learning via Network Embedding. 10065-10066Jingyun Xu, Yi Cai:
Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification. 10067-10068Hansheng Xue, Jiajie Peng, Xuequn Shang:
Towards Gene Function Prediction via Multi-Networks Representation Learning. 10069-10070Lingkai Yang, Yi-Nan Guo, Jian Cheng:
Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning. 10071-10072Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang:
APRP: An Anonymous Propagation Method in Bitcoin Network. 10073-10074Salah Zaiem, Fatiha Sadat:
Sequence to Sequence Learning for Query Expansion. 10075-10076Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro:
Adversarial Framing for Image and Video Classification. 10077-10078Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin:
Computing Argumentative Explanations in Bipolar Argumentation Frameworks. 10079-10080Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang:
Geometric Multi-Model Fitting by Deep Reinforcement Learning. 10081-10082Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie:
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis. 10083-10084Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas Huang:
Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise. 10085-10086Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho:
Classifier-Agnostic Saliency Map Extraction. 10087-10088
last updated on 2019-10-09 22:05 CEST by the dblp team
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